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ORCIDTzung-Pei Hong
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- affiliation: National University of Kaohsiung, Department of Computer Science and Information Engineering, Taiwan
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Journal Articles
- 2023
[j272]Bilal Sowan
, Tzung-Pei Hong, Ahmad Al-Qerem, Mohammad Alauthman, Nasim Matar:
Ensembling validation indices to estimate the optimal number of clusters. Appl. Intell. 53(9): 9933-9957 (2023)- [j271]Sajida Kousar, Sidra Arshad, Nasreen Kausar, Tzung-Pei Hong:
Construction of Nilpotent and Solvable Lie Algebra in Picture Fuzzy Environment. Int. J. Comput. Intell. Syst. 16(1): 37 (2023) - 2022
- [j270]Tzung-Pei Hong, Chen-Chia Chiu, Ja-Hwung Su, Chun-Hao Chen:
Applicable Metamorphic Testing for Erasable-Itemset Mining. IEEE Access 10: 38545-38554 (2022) - [j269]Yi-Hsuan Chuang, Ja-Hwung Su, Ding-Hong Han, Yi-Wen Liao, Yeong-Chyi Lee, Yu-Fan Cheng, Tzung-Pei Hong, Katherine Shu-Min Li, Hsin-You Ou, Yi Lu, Chih-Chi Wang:
Effective Natural Language Processing and Interpretable Machine Learning for Structuring CT Liver-Tumor Reports. IEEE Access 10: 116273-116286 (2022) - [j268]Ja-Hwung Su, Tzung-Pei Hong, Yu-Tang Chen, Chu-Yu Chin:
High-performance content-based music retrieval via automated navigation and semantic features. Eng. Appl. Artif. Intell. 115: 105267 (2022) - [j267]Tzung-Pei Hong, Chi-Cheng Kao, Siang-Wei Chen, Chun-Hao Chen:
Mining multiplex interaction relationships from usage records in social networks. Intell. Data Anal. 26(4): 993-1005 (2022) - [j266]Yu-Po Kuo, Ya-Ju Yu, Tzung-Pei Hong, Wei Kuang Lai:
Genetic Approach for Joint Transmission Grouping in Next-Generation Cellular Networks. Sensors 22(19): 7147 (2022) - [j265]Tzung-Pei Hong, Chun-Hao Chen, Yan-Kang Li, Min-Thai Wu:
Using Fuzzy C-means to Discover Concept-drift Patterns for Membership Functions. TFSS 1(2): 21-31 (2022) - 2021
- [j264]Tzung-Pei Hong, Wei-Ming Huang, Guo-Cheng Lan, Ming-Chao Chiang, Jerry Chun-Wei Lin:
A Bitmap Approach for Mining Erasable Itemsets. IEEE Access 9: 106029-106038 (2021) - [j263]Jerry Chun-Wei Lin, Usman Ahmed, Gautam Srivastava, Jimmy Ming-Tai Wu, Tzung-Pei Hong, Youcef Djenouri:
Linguistic frequent pattern mining using a compressed structure. Appl. Intell. 51(7): 4806-4823 (2021) - [j262]Tuong Le, Thanh-Long Nguyen, Bao Huynh, Hung Nguyen, Tzung-Pei Hong, Václav Snásel:
Mining colossal patterns with length constraints. Appl. Intell. 51(12): 8629-8640 (2021) - [j261]Tram Nguyen, Toan Bui, Hamido Fujita, Tzung-Pei Hong, Ho Dac Loc, Václav Snásel, Bay Vo:
Multiple-objective optimization applied in extracting multiple-choice tests. Eng. Appl. Artif. Intell. 105: 104439 (2021) - [j260]Dominik Slezak, Tzung-Pei Hong, Leon S. L. Wang:
Preface: Information Granulation in Data Science and Scalable Computing. Fundam. Informaticae 182(2) (2021) - [j259]S. R. Kannan, Rajesh Kumar Mohapatra, Tzung-Pei Hong:
The invention of new sequences through classifying and counting fuzzy matrices. Soft Comput. 25(15): 9663-9676 (2021) - [j258]S. R. Kannan, Esha Kashyap, Mark Last, Tzung-Pei Hong:
Penalty term based suitable fuzzy intuitionistic possibilistic clustering: analyzing high dimensional gene expression cancer database. Soft Comput. 25(15): 9839-9857 (2021) - [j257]Quang-Thinh Bui, Bay Vo, Václav Snásel, Witold Pedrycz, Tzung-Pei Hong, Ngoc Thanh Nguyen, Mu-Yen Chen:
SFCM: A Fuzzy Clustering Algorithm of Extracting the Shape Information of Data. IEEE Trans. Fuzzy Syst. 29(1): 75-89 (2021) - 2020
- [j256]Bay Vo, Loan T. T. Nguyen, Nguyen Bui, Trinh D. D. Nguyen, Van-Nam Huynh, Tzung-Pei Hong:
An Efficient Method for Mining Closed Potential High-Utility Itemsets. IEEE Access 8: 31813-31822 (2020) - [j255]Bay Vo, Le V. Nguyen, Vinh V. Vu, Mi T. H. Lam, Thuy T. M. Duong, Ly T. Manh, Thuy T. T. Nguyen, Loan T. T. Nguyen, Tzung-Pei Hong:
Mining Correlated High Utility Itemsets in One Phase. IEEE Access 8: 90465-90477 (2020) - [j254]Thi-Thiet Pham, Tung Do, Anh Nguyen, Bay Vo, Tzung-Pei Hong:
An Efficient Method for Mining Top-K Closed Sequential Patterns. IEEE Access 8: 118156-118163 (2020) - [j253]Chun-Hao Chen, Hsiang Chou, Tzung-Pei Hong, Yusuke Nojima:
Cluster-Based Membership Function Acquisition Approaches for Mining Fuzzy Temporal Association Rules. IEEE Access 8: 123996-124006 (2020) - [j252]Aman Singh, Pinku Nath, Vivek Singhal, Divya Anand, Kavita, Sahil Verma, Tzung-Pei Hong:
A New Clinical Spectrum for the Assessment of Nonalcoholic Fatty Liver Disease Using Intelligent Methods. IEEE Access 8: 138470-138480 (2020) - [j251]Tzung-Pei Hong, Cheng-Yu Lin, Wei-Ming Huang, Katherine Shu-Min Li, Shyue-Liang Leon Wang, Jerry Chun-Wei Lin:
Using Tree Structure to Mine High Temporal Fuzzy Utility Itemsets. IEEE Access 8: 153692-153706 (2020) - [j250]Huy Minh Huynh, Loan T. T. Nguyen, Bay Vo, Unil Yun, Zuzana Komínková Oplatková, Tzung-Pei Hong:
Efficient algorithms for mining clickstream patterns using pseudo-IDLists. Future Gener. Comput. Syst. 107: 18-30 (2020) - [j249]Thang Mai, Loan T. T. Nguyen, Bay Vo, Unil Yun, Tzung-Pei Hong:
Efficient Algorithm for Mining Non-Redundant High-Utility Association Rules. Sensors 20(4): 1078 (2020) - [j248]Toan Bui, Tram Nguyen, Huy Minh Huynh, Bay Vo, Jerry Chun-Wei Lin, Tzung-Pei Hong:
Multiswarm Multiobjective Particle Swarm Optimization with Simulated Annealing for Extracting Multiple Tests. Sci. Program. 2020: 7081653:1-7081653:15 (2020) - [j247]Yu-Chuan Tsai, Shyue-Liang Wang, I-Hsien Ting, Tzung-Pei Hong:
Flexible sensitive K-anonymization on transactions. World Wide Web 23(4): 2391-2406 (2020) - 2019
- [j246]Chun-Hao Chen, Ji-Syuan He, Tzung-Pei Hong, Subbaiya Rammohan Kannan:
Post-Analysis Framework for Mining Actionable Patterns Using Clustering and Genetic Algorithms. IEEE Access 7: 108101-108115 (2019) - [j245]Chun-Hao Chen, Cheng-Yu Lu, Tzung-Pei Hong, Jerry Chun-Wei Lin, Matteo Gaeta:
An Effective Approach for the Diverse Group Stock Portfolio Optimization Using Grouping Genetic Algorithm. IEEE Access 7: 155871-155884 (2019) - [j244]Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Tzung-Pei Hong:
Mining of skyline patterns by considering both frequent and utility constraints. Eng. Appl. Artif. Intell. 77: 229-238 (2019) - [j243]Wei-Ming Huang, Tzung-Pei Hong, Ming-Chao Chiang, Jerry Chun-Wei Lin:
Using Multi-Conditional Minimum Thresholds in Temporal Fuzzy Utility Mining. Int. J. Comput. Intell. Syst. 12(2): 613-626 (2019) - [j242]Chun-Hao Chen, Bing-Yang Chiang, Tzung-Pei Hong, Ding-Chau Wang, Jerry Chun-Wei Lin, Munkhjargal Gankhuyag:
A fuzzy GGA-based approach to speed up the evolutionary process for diverse group stock portfolio optimization. J. Intell. Fuzzy Syst. 37(6): 7465-7479 (2019) - 2018
- [j241]Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, Jeng-Shyang Pan, Tzung-Pei Hong:
Efficiently updating the discovered high average-utility itemsets with transaction insertion. Eng. Appl. Artif. Intell. 72: 136-149 (2018) - [j240]Huong Bui, Bay Vo, Ham Nguyen, Tu-Anh Nguyen-Hoang, Tzung-Pei Hong:
A weighted N-list-based method for mining frequent weighted itemsets. Expert Syst. Appl. 96: 388-405 (2018) - [j239]Kit Yan Chan, Mehmet Emin Aydin, Huseyin Seker, Vasile Palade, Tzung-Pei Hong:
Editorial Message: Special Issue on Efficient Fuzzy Systems for Mining Large Scale, Imprecise, Uncertain and Vague Data. Int. J. Fuzzy Syst. 20(4): 1203-1204 (2018) - [j238]Jerry Chun-Wei Lin, Yuyu Zhang, Philippe Fournier-Viger, Tzung-Pei Hong:
Efficiently Updating the Discovered Multiple Fuzzy Frequent Itemsets with Transaction Insertion. Int. J. Fuzzy Syst. 20(8): 2440-2457 (2018) - [j237]Tzung-Pei Hong, Jimmy Ming-Tai Wu, Yan-Kang Li, Chun-Hao Chen:
Generalizing Concept-Drift Patterns for Fuzzy Association Rules. J. Netw. Intell. 3(2): 126-137 (2018) - [j236]Chuan-Kang Ting, Rung-Tzuo Liaw, Ting-Chen Wang, Tzung-Pei Hong:
Mining fuzzy association rules using a memetic algorithm based on structure representation. Memetic Comput. 10(1): 15-28 (2018) - [j235]Giuseppe D'Aniello, Matteo Gaeta, Tzung-Pei Hong:
Effective Quality-Aware Sensor Data Management. IEEE Trans. Emerg. Top. Comput. Intell. 2(1): 65-77 (2018) - [j234]Ja-Hwung Su, Tzung-Pei Hong, Chu-Yu Chin, Zhi-Feng Liao, Shyr-Yuan Cheng:
Mining and applications of repeating patterns. Vietnam. J. Comput. Sci. 5(3-4): 251-261 (2018) - [j233]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Tzung-Pei Hong, Hamido Fujita:
A survey of incremental high-utility itemset mining. WIREs Data Mining Knowl. Discov. 8(2) (2018) - 2017
- [j232]Bay Vo, Tuong Le, Giang Nguyen, Tzung-Pei Hong:
Efficient Algorithms for Mining Erasable Closed Patterns From Product Datasets. IEEE Access 5: 3111-3120 (2017) - [j231]Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, Tzung-Pei Hong:
EHAUPM: Efficient High Average-Utility Pattern Mining With Tighter Upper Bounds. IEEE Access 5: 12927-12940 (2017) - [j230]Wei-Ming Huang, Tzung-Pei Hong, Guo-Cheng Lan, Ming-Chao Chiang, Jerry Chun-Wei Lin:
Temporal-Based Fuzzy Utility Mining. IEEE Access 5: 26639-26652 (2017) - [j229]Jerry Chun-Wei Lin, Jiexiong Zhang, Philippe Fournier-Viger, Tzung-Pei Hong, Ji Zhang:
A two-phase approach to mine short-period high-utility itemsets in transactional databases. Adv. Eng. Informatics 33: 29-43 (2017) - [j228]Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, Tzung-Pei Hong, Ja-Hwung Su, Bay Vo:
A fast algorithm for mining high average-utility itemsets. Appl. Intell. 47(2): 331-346 (2017) - [j227]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Han-Chieh Chao, Tzung-Pei Hong:
Efficiently mining frequent itemsets with weight and recency constraints. Appl. Intell. 47(3): 769-792 (2017) - [j226]Jheng-Nan Huang, Tzung-Pei Hong, Ming-Chao Chiang:
An effective method for approximate representation of frequent itemsets. Intell. Data Anal. 21(3): 597-616 (2017) - [j225]Jeng-Shyang Pan, Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Tzung-Pei Hong:
Efficiently mining of skyline frequent-utility patterns. Intell. Data Anal. 21(6): 1407-1423 (2017) - [j224]Tzung-Pei Hong, Been-Chian Chien, Wen-Yang Lin, Shyue-Liang Wang:
Editorial. Intell. Data Anal. 21(S1): S1-S3 (2017) - [j223]Shyue-Liang Wang, Min-Jye Hsiu, Yu-Chuan Tsai, I-Hsien Ting, Tzung-Pei Hong:
Analysis of privacy and utility tradeoffs in anonymized mobile context streams. Intell. Data Anal. 21(S1): S21-S39 (2017) - [j222]Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, Jimmy Ming-Tai Wu, Justin Zhan:
Efficient Mining of Multiple Fuzzy Frequent Itemsets. Int. J. Fuzzy Syst. 19(4): 1032-1040 (2017) - [j221]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Han-Chieh Chao:
Mining Weighted Frequent Itemsets without Candidate Generation in Uncertain Databases. Int. J. Inf. Technol. Decis. Mak. 16(6): 1549-1580 (2017) - [j220]Jerry Chun-Wei Lin, Tzung-Pei Hong, Philippe Fournier-Viger, Qiankun Liu, Jia-Wei Wong, Justin Zhan:
Efficient hiding of confidential high-utility itemsets with minimal side effects. J. Exp. Theor. Artif. Intell. 29(6): 1225-1245 (2017) - [j219]Tzung-Pei Hong, Yuan-Ching Peng, Wen-Yang Lin, Shyue-Liang Wang:
Empirical comparison of level-wise hierarchical multi-population genetic algorithm. J. Inf. Telecommun. 1(1): 66-78 (2017) - [j218]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Han-Chieh Chao:
FDHUP: Fast algorithm for mining discriminative high utility patterns. Knowl. Inf. Syst. 51(3): 873-909 (2017) - [j217]Min-Thai Wu, Tzung-Pei Hong, Chung-Nan Lee:
A dynamic-edge ACS algorithm for continuous variables problems. Nat. Comput. 16(2): 339-352 (2017) - [j216]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Efficiently mining uncertain high-utility itemsets. Soft Comput. 21(11): 2801-2820 (2017) - [j215]S. R. Kannan, R. Devi, S. Ramathilagam, Tzung-Pei Hong:
Effective fuzzy possibilistic c-means: an analyzing cancer medical database. Soft Comput. 21(11): 2835-2845 (2017) - [j214]Chuan-Kang Ting, Ting-Chen Wang, Rung-Tzuo Liaw, Tzung-Pei Hong:
Genetic algorithm with a structure-based representation for genetic-fuzzy data mining. Soft Comput. 21(11): 2871-2882 (2017) - [j213]Wen-Yang Lin, Hsin-Chang Yang, Tzung-Pei Hong, Leon S. L. Wang:
Special issue on intelligent analytics and management of mobile data and social media. Soft Comput. 21(15): 4159-4160 (2017) - [j212]Shyue-Liang Wang, Yu-Chuan Tsai, Tzung-Pei Hong, Hung-Yu Kao:
k--anonymization of multiple shortest paths. Soft Comput. 21(15): 4215-4226 (2017) - [j211]Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Tzung-Pei Hong, Miroslav Voznák:
A binary PSO approach to mine high-utility itemsets. Soft Comput. 21(17): 5103-5121 (2017) - [j210]Jheng-Nan Huang, Tzung-Pei Hong, Ming-Chao Chiang:
Reference itemsets: useful itemsets to approximate the representation of frequent itemsets. Soft Comput. 21(20): 6143-6157 (2017) - 2016
- [j209]Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Tzung-Pei Hong:
PTA: An Efficient System for Transaction Database Anonymization. IEEE Access 4: 6467-6479 (2016) - [j208]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Fast algorithms for mining high-utility itemsets with various discount strategies. Adv. Eng. Informatics 30(2): 109-126 (2016) - [j207]Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, Justin Zhan, Miroslav Voznák:
An efficient algorithm to mine high average-utility itemsets. Adv. Eng. Informatics 30(2): 233-243 (2016) - [j206]Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong:
Maintaining the discovered high-utility itemsets with transaction modification. Appl. Intell. 44(1): 166-178 (2016) - [j205]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Weighted frequent itemset mining over uncertain databases. Appl. Intell. 44(1): 232-250 (2016) - [j204]Minh-Thai Tran, Bac Le, Bay Vo, Tzung-Pei Hong:
Mining non-redundant sequential rules with dynamic bit vectors and pruning techniques. Appl. Intell. 45(2): 333-342 (2016) - [j203]Chun-Hao Chen, Guo-Cheng Lan, Tzung-Pei Hong, Shih-Bin Lin:
Mining fuzzy temporal association rules by item lifespans. Appl. Soft Comput. 41: 265-274 (2016) - [j202]Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Tzung-Pei Hong, Miroslav Voznák, Justin Zhan:
A sanitization approach for hiding sensitive itemsets based on particle swarm optimization. Eng. Appl. Artif. Intell. 53: 1-18 (2016) - [j201]Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Jimmy Ming-Tai Wu, Tzung-Pei Hong, Shyue-Liang Leon Wang, Justin Zhan:
Mining high-utility itemsets based on particle swarm optimization. Eng. Appl. Artif. Intell. 55: 320-330 (2016) - [j200]Bay Vo, Thien-Phuong Le, Tzung-Pei Hong, Bac Le, Jason J. Jung:
An efficient approach for mining frequent item sets with transaction deletion operation. Int. Arab J. Inf. Technol. 13(5): 595-602 (2016) - [j199]Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Hsin-Yi Chen, Sheng-Tun Li:
An efficient algorithm to maintain the discovered frequent sequences with record deletion. Intell. Data Anal. 20(3): 655-677 (2016) - [j198]Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong:
A fast maintenance algorithm of the discovered high-utility itemsets with transaction deletion. Intell. Data Anal. 20(4): 891-913 (2016) - [j197]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong:
Efficiently Updating the Discovered Sequential Patterns for Sequence Modification. Int. J. Softw. Eng. Knowl. Eng. 26(8): 1285-1314 (2016) - [j196]Chun-Hao Chen, Vincent S. Tseng, Hsieh-Hui Yu, Tzung-Pei Hong, Neil Y. Yen:
A GA-based approach for finding appropriate granularity levels of patterns from time series. Int. J. Web Grid Serv. 12(3): 217-239 (2016) - [j195]Bay Vo, Tam Tran, Tzung-Pei Hong, Le Minh Nguyen:
Using Soft Set Theory for Mining Maximal Association Rules in Text Data. J. Univers. Comput. Sci. 22(6): 802-821 (2016) - [j194]Shyue-Liang Wang, Jia-Wei Chen, I-Hsien Ting, Tzung-Pei Hong:
K, P)-Shortest Path Algorithm in the Cloud Maintaining Neighborhood Privacy. J. Web Eng. 15(1&2): 29-44 (2016) - [j193]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Efficient algorithms for mining high-utility itemsets in uncertain databases. Knowl. Based Syst. 96: 171-187 (2016) - [j192]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Justin Zhan:
Efficient mining of high-utility itemsets using multiple minimum utility thresholds. Knowl. Based Syst. 113: 100-115 (2016) - [j191]Bay Vo, Tuong Le, Frans Coenen, Tzung-Pei Hong:
Mining frequent itemsets using the N-list and subsume concepts. Int. J. Mach. Learn. Cybern. 7(2): 253-265 (2016) - [j190]Chun-Wei Lin, Binbin Zhang, Wensheng Gan, Bo-Wei Chen, Seungmin Rho, Tzung-Pei Hong:
Updating high-utility pattern trees with transaction modification. Multim. Tools Appl. 75(9): 4887-4912 (2016) - [j189]Shun-Feng Su, Witold Pedrycz, Tzung-Pei Hong, Francisco de A. T. de Carvalho:
Guest Editorial Special Issue on Granular/Symbolic Data Processing. IEEE Trans. Cybern. 46(2): 342-343 (2016) - 2015
- [j188]Chun-Wei Lin, Tzung-Pei Hong, Guo-Cheng Lan, Jia-Wei Wong, Wen-Yang Lin:
Efficient updating of discovered high-utility itemsets for transaction deletion in dynamic databases. Adv. Eng. Informatics 29(1): 16-27 (2015) - [j187]Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong:
A fast updated algorithm to maintain the discovered high-utility itemsets for transaction modification. Adv. Eng. Informatics 29(3): 562-574 (2015) - [j186]Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Vincent S. Tseng:
Efficient algorithms for mining up-to-date high-utility patterns. Adv. Eng. Informatics 29(3): 648-661 (2015) - [j185]Chun-Wei Lin, Tzung-Pei Hong, Kuo-Tung Yang, Shyue-Liang Wang:
The GA-based algorithms for optimizing hiding sensitive itemsets through transaction deletion. Appl. Intell. 42(2): 210-230 (2015) - [j184]Jerry Chun-Wei Lin, Tzung-Pei Hong, Tsung-Ching Lin:
A CMFFP-tree algorithm to mine complete multiple fuzzy frequent itemsets. Appl. Soft Comput. 28: 431-439 (2015) - [j183]Tzung-Pei Hong, Chun-Hao Chen, Feng-Shih Lin:
Using group genetic algorithm to improve performance of attribute clustering. Appl. Soft Comput. 29: 371-378 (2015) - [j182]Guo-Cheng Lan, Tzung-Pei Hong, Yi-Hsin Lin, Shyue-Liang Wang:
Fuzzy utility mining with upper-bound measure. Appl. Soft Comput. 30: 767-777 (2015) - [j181]Yu-Chuan Tsai, Shyue-Liang Wang, Hung-Yu Kao, Tzung-Pei Hong:
Edge types vs privacy in K-anonymization of shortest paths. Appl. Soft Comput. 31: 348-359 (2015) - [j180]S. R. Kannan, R. Devi, S. Ramathilagam, Tzung-Pei Hong, A. Ravikumar:
Robust fuzzy clustering algorithms in analyzing high-dimensional cancer databases. Appl. Soft Comput. 35: 199-213 (2015) - [j179]Bay Vo, Tuong Le, Tzung-Pei Hong, Hoai Bac Le:
Fast updated frequent-itemset lattice for transaction deletion. Data Knowl. Eng. 96: 78-89 (2015) - [j178]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong:
RWFIM: Recent weighted-frequent itemsets mining. Eng. Appl. Artif. Intell. 45: 18-32 (2015) - [j177]Loan T. T. Nguyen, Bay Vo, Tzung-Pei Hong:
CARIM: an efficient algorithm for mining class-association rules with interestingness measures. Int. Arab J. Inf. Technol. 12(6A): 627-634 (2015) - [j176]Chun-Wei Lin, Guo-Cheng Lan, Tzung-Pei Hong:
Mining high utility itemsets for transaction deletion in a dynamic database. Intell. Data Anal. 19(1): 43-55 (2015) - [j175]Guo-Cheng Lan, Tzung-Pei Hong, Hong-Yu Lee, Chun-Wei Lin:
Tightening upper bounds for mining weighted frequent itemsets. Intell. Data Anal. 19(2): 413-429 (2015) - [j174]Jerry Chun-Wei Lin, Tzung-Pei Hong, Wensheng Gan, Hsin-Yi Chen, Sheng-Tun Li:
Incrementally updating the discovered sequential patterns based on pre-large concept. Intell. Data Anal. 19(5): 1071-1089 (2015) - [j173]Chun-Hao Chen, Tzung-Pei Hong, Yeong-Chyi Lee, Vincent S. Tseng:
Finding Active Membership Functions for Genetic-Fuzzy Data Mining. Int. J. Inf. Technol. Decis. Mak. 14(6): 1215-1242 (2015) - [j172]Jerry Chun-Wei Lin, Tzung-Pei Hong, Tsung-Ching Lin, Shing-Tai Pan:
An UBMFFP Tree for Mining Multiple Fuzzy Frequent Itemsets. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 23(6): 861-880 (2015) - [j171]Dang Nguyen, Loan T. T. Nguyen, Bay Vo, Tzung-Pei Hong:
A novel method for constrained class association rule mining. Inf. Sci. 320: 107-125 (2015) - [j170]Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Jingliang Zhang:
Updating the Built Prelarge Fast Updated Sequential Pattern Trees with Sequence Modification. Int. J. Data Warehous. Min. 11(1): 1-22 (2015) - [j169]Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong:
A fast Algorithm for mining fuzzy frequent itemsets. J. Intell. Fuzzy Syst. 29(6): 2373-2379 (2015) - [j168]Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Sang Oh Park, Bo-Wei Chen:
Peer-to-peer usage analysis in dynamic databases. Peer-to-Peer Netw. Appl. 8(5): 851-862 (2015) - 2014
- [j167]Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong:
Efficiently Maintaining the Fast Updated Sequential Pattern Trees With Sequence Deletion. IEEE Access 2: 1374-1383 (2014) - [j166]Chun-Wei Lin, Tzung-Pei Hong, Guo-Cheng Lan, Jia-Wei Wong, Wen-Yang Lin:
Incrementally mining high utility patterns based on pre-large concept. Appl. Intell. 40(2): 343-357 (2014) - [j165]Guo-Cheng Lan, Tzung-Pei Hong, Hong-Yu Lee:
An efficient approach for finding weighted sequential patterns from sequence databases. Appl. Intell. 41(2): 439-452 (2014) - [j164]Bay Vo, Tuong Le, Tzung-Pei Hong, Hoai Bac Le:
An effective approach for maintenance of pre-large-based frequent-itemset lattice in incremental mining. Appl. Intell. 41(3): 759-775 (2014) - [j163]Shyue-Liang Wang, Yu-Chuan Tsai, Hung-Yu Kao, Tzung-Pei Hong:
On anonymizing transactions with sensitive items. Appl. Intell. 41(4): 1043-1058 (2014) - [j162]Thien-Phuong Le, Bay Vo, Tzung-Pei Hong, Bac Le, Dosam Hwang:
Improving Efficiency of Incremental Mining by Trie Structure and Pre-Large Itemsets. Comput. Informatics 33(3): 609-632 (2014) - [j161]Tzung-Pei Hong, Chun-Wei Lin, Tsung-Ching Lin:
The MFFP-Tree fuzzy Mining Algorithm to Discover Complete Linguistic Frequent Itemsets. Comput. Intell. 30(1): 145-166 (2014) - [j160]Kung-Jiuan Yang, Tzung-Pei Hong, Guo-Cheng Lan, Yuh-Min Chen:
A two-phase approach for mining weighted partial periodic patterns. Eng. Appl. Artif. Intell. 30: 225-234 (2014) - [j159]Thi-Thiet Pham, Jiawei Luo, Tzung-Pei Hong, Bay Vo:
An efficient method for mining non-redundant sequential rules using attributed prefix-trees. Eng. Appl. Artif. Intell. 32: 88-99 (2014) - [j158]Binbin Zhang, Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong:
Maintaining the discovered sequential patterns for sequence insertion in dynamic databases. Eng. Appl. Artif. Intell. 35: 131-142 (2014) - [j157]Tzung-Pei Hong, Yeong-Chyi Lee, Min-Thai Wu:
An effective parallel approach for genetic-fuzzy data mining. Expert Syst. Appl. 41(2): 655-662 (2014) - [j156]Guo-Cheng Lan, Tzung-Pei Hong, Jen-Peng Huang, Vincent S. Tseng:
On-shelf utility mining with negative item values. Expert Syst. Appl. 41(7): 3450-3459 (2014) - [j155]Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng, Shyue-Liang Wang:
Applying the maximum utility measure in high utility sequential pattern mining. Expert Syst. Appl. 41(11): 5071-5081 (2014) - [j154]Chun-Wei Lin, Tzung-Pei Hong, Wen-Yang Lin, Guo-Cheng Lan:
Efficient updating of sequential patterns with transaction insertion. Intell. Data Anal. 18(6): 1013-1026 (2014) - [j153]Thi-Thiet Pham, Jiawei Luo, Tzung-Pei Hong:
An efficient algorithm for mining sequential generator pattern using prefix trees and hash tables. Int. J. Intell. Syst. Technol. Appl. 13(3): 157-169 (2014) - [j152]Kung-Jiuan Yang, Tzung-Pei Hong, Guo-Cheng Lan, Yuh-Min Chen:
Efficient Mining of Partial Periodic Patterns with Individual Event Support Thresholds Using Minimum Constraints. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 22(6): 793-814 (2014) - [j151]Chun-Wei Lin, Tzung-Pei Hong:
Maintenance of prelarge trees for data mining with modified records. Inf. Sci. 278: 88-103 (2014) - [j150]Kung-Jiuan Yang, Tzung-Pei Hong, Yuh-Min Chen, Guo-Cheng Lan:
An Efficient Pruning and Filtering Strategy to Mine Partial Periodic Patterns from a Sequence of Event Sets. Int. J. Data Warehous. Min. 10(2): 18-38 (2014) - [j149]Shyue-Liang Wang, Zheng-Ze Tsai, I-Hsien Ting, Tzung-Pei Hong:
K-anonymous path privacy on social graphs. J. Intell. Fuzzy Syst. 26(3): 1191-1199 (2014) - [j148]Chun-Wei Lin, Tzung-Pei Hong:
Mining fuzzy frequent itemsets based on UBFFP trees. J. Intell. Fuzzy Syst. 27(1): 535-548 (2014) - [j147]S. Ramathilagam, R. Devi, Tzung-Pei Hong, S. R. Kannan:
Robust fuzzy clustering techniques for analyzing complicated colon cancer database. J. Intell. Fuzzy Syst. 27(5): 2573-2595 (2014) - [j146]Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng:
An efficient projection-based indexing approach for mining high utility itemsets. Knowl. Inf. Syst. 38(1): 85-107 (2014) - [j145]Chun-Wei Tsai, Alexander Pelov, Ming-Chao Chiang, Chu-Sing Yang, Tzung-Pei Hong:
Computational awareness for smart grid: a review. Int. J. Mach. Learn. Cybern. 5(1): 151-163 (2014) - [j144]Tzung-Pei Hong, Yan-Liang Liou, Shyue-Liang Wang, Bay Vo:
Feature selection and replacement by clustering attributes. Vietnam. J. Comput. Sci. 1(1): 47-55 (2014) - 2013
- [j143]Tzung-Pei Hong, Chun-Wei Lin, Kuo-Tung Yang, Shyue-Liang Wang:
Using TF-IDF to hide sensitive itemsets. Appl. Intell. 38(4): 502-510 (2013) - [j142]Loan T. T. Nguyen, Bay Vo, Tzung-Pei Hong, Hoang Chi Thanh:
CAR-Miner: An efficient algorithm for mining class-association rules. Expert Syst. Appl. 40(6): 2305-2311 (2013) - [j141]Kung-Jiuan Yang, Tzung-Pei Hong, Yuh-Min Chen, Guo-Cheng Lan:
Projection-based partial periodic pattern mining for event sequences. Expert Syst. Appl. 40(10): 4232-4240 (2013) - [j140]Chun-Hao Chen, Guo-Cheng Lan, Tzung-Pei Hong, Yui-Kai Lin:
Mining high coherent association rules with consideration of support measure. Expert Syst. Appl. 40(16): 6531-6537 (2013) - [j139]Shyue-Liang Wang, Yu-Chuan Tsai, Hung-Yu Kao, I-Hsien Ting, Tzung-Pei Hong:
Shortest Paths Anonymization on Weighted Graphs. Int. J. Softw. Eng. Knowl. Eng. 23(1): 65-80 (2013) - [j138]Shyue-Liang Wang, Chung-Yi Chen, I-Hsien Ting, Tzung-Pei Hong:
Anonymous Spatial Query on Non-Uniform Data. Int. J. Data Warehous. Min. 9(4): 44-61 (2013) - [j137]Chun-Wei Lin, Tzung-Pei Hong, Chia-Ching Chang, Shyue-Liang Wang:
A Greedy-based Approach for Hiding Sensitive Itemsets by Transaction Insertion. J. Inf. Hiding Multim. Signal Process. 4(4): 201-214 (2013) - [j136]Chun-Wei Lin, Tzung-Pei Hong, Yi-Fan Chen, Tsung-Ching Lin, Shing-Tai Pan:
An Integrated MFFP-tree Algorithm for Mining Global Fuzzy Rules from Distributed Databases. J. Univers. Comput. Sci. 19(4): 521-538 (2013) - [j135]Bay Vo, Tzung-Pei Hong, Bac Le:
A lattice-based approach for mining most generalization association rules. Knowl. Based Syst. 45: 20-30 (2013) - [j134]Chun-Hao Chen, Ji-Syuan He, Tzung-Pei Hong:
MOGA-based fuzzy data mining with taxonomy. Knowl. Based Syst. 54: 53-65 (2013) - [j133]Chun-Hao Chen, Vincent S. Tseng, Hsieh-Hui Yu, Tzung-Pei Hong:
Time series pattern discovery by a PIP-based evolutionary approach. Soft Comput. 17(9): 1699-1710 (2013) - [j132]Chun-Wei Lin, Tzung-Pei Hong:
A survey of fuzzy web mining. WIREs Data Mining Knowl. Discov. 3(3): 190-199 (2013) - 2012
- [j131]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Fuzzy data mining for time-series data. Appl. Soft Comput. 12(1): 536-542 (2012) - [j130]Chun-Wei Lin, Tzung-Pei Hong:
A new mining approach for uncertain databases using CUFP trees. Expert Syst. Appl. 39(4): 4084-4093 (2012) - [j129]Chun-Wei Lin, Guo-Cheng Lan, Tzung-Pei Hong:
An incremental mining algorithm for high utility itemsets. Expert Syst. Appl. 39(8): 7173-7180 (2012) - [j128]Bay Vo, Tzung-Pei Hong, Bac Le:
DBV-Miner: A Dynamic Bit-Vector approach for fast mining frequent closed itemsets. Expert Syst. Appl. 39(8): 7196-7206 (2012) - [j127]Loan T. T. Nguyen, Bay Vo, Tzung-Pei Hong, Hoang Chi Thanh:
Classification based on association rules: A lattice-based approach. Expert Syst. Appl. 39(13): 11357-11366 (2012) - [j126]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Finding Pareto-front Membership Functions in Fuzzy Data Mining. Int. J. Comput. Intell. Syst. 5(2): 343-354 (2012) - [j125]Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng:
Efficiently Mining High Average-Utility Itemsets with an Improved Upper-Bound Strategy. Int. J. Inf. Technol. Decis. Mak. 11(5): 1009- (2012) - [j124]Tzung-Pei Hong, Ya-Fang Tung, Shyue-Liang Wang, Yu-Lung Wu, Min-Thai Wu:
A multi-level ant-colony mining algorithm for membership functions. Inf. Sci. 182(1): 3-14 (2012) - [j123]Shing-Tai Pan, Tzung-Pei Hong:
Robust Speech Recognition by DHMM with A Codebook Trained by Genetic Algorithm. J. Inf. Hiding Multim. Signal Process. 3(4): 306-319 (2012) - [j122]Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng:
A Projection-Based Approach for Discovering High Average-Utility Itemsets. J. Inf. Sci. Eng. 28(1): 193-209 (2012) - [j121]Min-Thai Wu, Tzung-Pei Hong, Chung-Nan Lee:
A continuous ant colony system framework for fuzzy data mining. Soft Comput. 16(12): 2071-2082 (2012) - 2011
- [j120]Tzung-Pei Hong, Chih-Wei Wu:
Mining rules from an incomplete dataset with a high missing rate. Expert Syst. Appl. 38(4): 3931-3936 (2011) - [j119]Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng:
Discovery of high utility itemsets from on-shelf time periods of products. Expert Syst. Appl. 38(5): 5851-5857 (2011) - [j118]Tzung-Pei Hong, Cheng-Ming Huang, Shi-Jinn Horng:
Discovering fuzzy inter- and intra-object associations. Expert Syst. Appl. 38(6): 6777-6786 (2011) - [j117]Tzung-Pei Hong, Ching-Yao Wang, Shian-Shyong Tseng:
An incremental mining algorithm for maintaining sequential patterns using pre-large sequences. Expert Syst. Appl. 38(6): 7051-7058 (2011) - [j116]Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu:
An effective tree structure for mining high utility itemsets. Expert Syst. Appl. 38(6): 7419-7424 (2011) - [j115]Tzung-Pei Hong, Cho-Han Lee, Shyue-Liang Wang:
Effective utility mining with the measure of average utility. Expert Syst. Appl. 38(7): 8259-8265 (2011) - [j114]Chun-Wei Lin, Tzung-Pei Hong:
Temporal data mining with up-to-date pattern trees. Expert Syst. Appl. 38(12): 15143-15150 (2011) - [j113]Tzung-Pei Hong, Wei-Tee Lin, Chun-Hao Chen, Chen-Sen Ouyang:
Evolutionarily adjusting membership functions in Takagi-Sugeno fuzzy systems. Int. J. Intell. Inf. Database Syst. 5(3): 229-245 (2011) - [j112]Tzung-Pei Hong, Cheng-Hsi Wu:
An Improved Weighted Clustering Algorithm for Determination of Application Nodes in Heterogeneous Sensor Networks. J. Inf. Hiding Multim. Signal Process. 2(2): 173-184 (2011) - [j111]Shusaku Tsumoto, Tzung-Pei Hong:
Special issue on data mining for decision making and risk management. J. Intell. Inf. Syst. 36(3): 249-251 (2011) - [j110]Shyue-Liang Wang, Jyun-Da Chen, Paul A. Stirpe, Tzung-Pei Hong:
Risk-neutral evaluation of information security investment on data centers. J. Intell. Inf. Syst. 36(3): 329-345 (2011) - [j109]Been-Chian Chien, Jui-Hsiang Yang, Tzung-Pei Hong:
Learning Discriminant Functions based on Genetic Programming and Rough Sets. J. Multiple Valued Log. Soft Comput. 17(2-3): 135-155 (2011) - [j108]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Genetic-fuzzy mining with multiple minimum supports based on fuzzy clustering. Soft Comput. 15(12): 2319-2333 (2011) - 2010
- [j107]Tzung-Pei Hong, Chuan-Kang Ting, Oliver Kramer:
Theory and Applications of Evolutionary Computation. Appl. Comput. Intell. Soft Comput. 2010: 360796:1-360796:2 (2010) - [j106]Tzung-Pei Hong, Ching-Yao Wang:
An efficient and effective association-rule maintenance algorithm for record modification. Expert Syst. Appl. 37(1): 618-626 (2010) - [j105]Kun-Ming Yu, Jiayi Zhou, Tzung-Pei Hong, Jia-Ling Zhou:
A load-balanced distributed parallel mining algorithm. Expert Syst. Appl. 37(3): 2459-2464 (2010) - [j104]Tzung-Pei Hong, Li-Huei Tseng, Been-Chian Chien:
Mining from incomplete quantitative data by fuzzy rough sets. Expert Syst. Appl. 37(3): 2644-2653 (2010) - [j103]Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu:
Linguistic data mining with fuzzy FP-trees. Expert Syst. Appl. 37(6): 4560-4567 (2010) - [j102]Jinsong Leng, Tzung-Pei Hong:
Mining Outliers in Correlated Subspaces for High Dimensional Data Sets. Fundam. Informaticae 98(1): 71-86 (2010) - [j101]Shyue-Liang Wang, Ting-Zheng Lai, Tzung-Pei Hong, Yu-Lung Wu:
Hiding collaborative recommendation association rules on horizontally partitioned data. Intell. Data Anal. 14(1): 47-67 (2010) - [j100]Tzung-Pei Hong, Ching-Yao Wang, Chun-Wei Lin:
Providing Timely updated Sequential Patterns in Decision Making. Int. J. Inf. Technol. Decis. Mak. 9(6): 873-888 (2010) - [j99]Radoslaw P. Katarzyniak, Ngoc Thanh Nguyen, Tzung-Pei Hong:
Special Issue on Knowledge and Information Discovery in New Generation Systems. New Gener. Comput. 28(1): 1-3 (2010) - [j98]Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu:
Using the Structure of Prelarge Trees to Incrementally Mine Frequent Itemsets. New Gener. Comput. 28(1): 5-20 (2010) - 2009
- [j97]Tzung-Pei Hong, Cheng-Ming Huang, Shi-Jinn Horng:
Discovering fuzzy personal moving profiles in wireless networks. Appl. Soft Comput. 9(2): 667-676 (2009) - [j96]Tzung-Pei Hong, Po-Cheng Wang, Yeong-Chyi Lee:
An Effective Attribute Clustering Approach for Feature Selection and Replacement. Cybern. Syst. 40(8): 657-669 (2009) - [j95]Tzung-Pei Hong, Chun-Wei Lin, Yu-Lung Wu:
Maintenance of fast updated frequent pattern trees for record deletion. Comput. Stat. Data Anal. 53(7): 2485-2499 (2009) - [j94]Tzung-Pei Hong, Chyan-Yuan Horng, Chih-Hung Wu, Shyue-Liang Wang:
An improved data mining approach using predictive itemsets. Expert Syst. Appl. 36(1): 72-80 (2009) - [j93]Yu-Hui Tao, Tzung-Pei Hong, Wen-Yang Lin, Wen-Yuan Chiu:
A practical extension of web usage mining with intentional browsing data toward usage. Expert Syst. Appl. 36(2): 3937-3945 (2009) - [j92]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Mining fuzzy frequent trends from time series. Expert Syst. Appl. 36(2): 4147-4153 (2009) - [j91]Tzung-Pei Hong, Yan-Liang Liou, Shyue-Liang Wang:
Fuzzy rough sets with hierarchical quantitative attributes. Expert Syst. Appl. 36(3): 6790-6799 (2009) - [j90]Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu:
The Pre-FUFP algorithm for incremental mining. Expert Syst. Appl. 36(5): 9498-9505 (2009) - [j89]Tzung-Pei Hong, Yi-Ying Wu, Shyue-Liang Wang:
An effective mining approach for up-to-date patterns. Expert Syst. Appl. 36(6): 9747-9752 (2009) - [j88]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
An improved approach to find membership functions and multiple minimum supports in fuzzy data mining. Expert Syst. Appl. 36(6): 10016-10024 (2009) - [j87]Cheng-Ming Huang, Tzung-Pei Hong, Shi-Jinn Horng:
Discovering mobile users' moving behaviors in wireless networks. Expert Syst. Appl. 36(8): 10809-10814 (2009) - [j86]Tzung-Pei Hong, Ya-Fang Tung, Shyue-Liang Wang, Min-Thai Wu, Yu-Lung Wu:
An ACS-based framework for fuzzy data mining. Expert Syst. Appl. 36(9): 11844-11852 (2009) - [j85]Vincent S. Tseng, Chun-Hao Chen, Pai-Chieh Huang, Tzung-Pei Hong:
Cluster-based genetic segmentation of time series with DWT. Pattern Recognit. Lett. 30(13): 1190-1197 (2009) - [j84]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, Chang-Shing Lee:
A genetic-fuzzy mining approach for items with multiple minimum supports. Soft Comput. 13(5): 521-533 (2009) - [j83]Chang-Shing Lee, Mei-Hui Wang, Guillaume Chaslot, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud, Shang-Rong Tsai, Shun-Chin Hsu, Tzung-Pei Hong:
The Computational Intelligence of MoGo Revealed in Taiwan's Computer Go Tournaments. IEEE Trans. Comput. Intell. AI Games 1(1): 73-89 (2009) - 2008
- [j82]Chan-Sheng Kuo, Tzung-Pei Hong, Chuen-Lung Chen:
An Improved Knowledge-Acquisition Strategy Based on Genetic Programming. Cybern. Syst. 39(7): 672-685 (2008) - [j81]Yeong-Chyi Lee, Tzung-Pei Hong, Tien-Chin Wang:
Multi-level fuzzy mining with multiple minimum supports. Expert Syst. Appl. 34(1): 459-468 (2008) - [j80]Tzung-Pei Hong, Chun-E Lin, Jiann-Horng Lin, Shyue-Liang Wang:
Learning cross-level certain and possible rules by rough sets. Expert Syst. Appl. 34(3): 1698-1706 (2008) - [j79]Yu-Hui Tao, Tzung-Pei Hong, Yu-Ming Su:
Web usage mining with intentional browsing data. Expert Syst. Appl. 34(3): 1893-1904 (2008) - [j78]Tzung-Pei Hong, Chun-Wei Lin, Yu-Lung Wu:
Incrementally fast updated frequent pattern trees. Expert Syst. Appl. 34(4): 2424-2435 (2008) - [j77]Wei-Chou Chen, Shian-Shyong Tseng, Tzung-Pei Hong:
An efficient bit-based feature selection method. Expert Syst. Appl. 34(4): 2858-2869 (2008) - [j76]Shyue-Liang Wang, Rajeev Maskey, Ayat Jafari, Tzung-Pei Hong:
Efficient sanitization of informative association rules. Expert Syst. Appl. 35(1-2): 442-450 (2008) - [j75]Tzung-Pei Hong, Cheng-Ming Huang, Shi-Jinn Horng:
Linguistic object-oriented web-usage mining. Int. J. Approx. Reason. 48(1): 47-61 (2008) - [j74]Tzung-Pei Hong, Min-Thai Wu:
A Hierarchical Gene-Set Genetic Algorithm. J. Comput. 3(11): 67-75 (2008) - [j73]Tzung-Pei Hong, Chun-Hao Chen, Yeong-Chyi Lee, Yu-Lung Wu:
Genetic-Fuzzy Data Mining With Divide-and-Conquer Strategy. IEEE Trans. Evol. Comput. 12(2): 252-265 (2008) - [j72]Chun-Hao Chen, Vincent S. Tseng, Tzung-Pei Hong:
Cluster-Based Evaluation in Fuzzy-Genetic Data Mining. IEEE Trans. Fuzzy Syst. 16(1): 249-262 (2008) - 2007
- [j71]Shyue-Liang Wang, Dipen Patel, Ayat Jafari, Tzung-Pei Hong:
Hiding collaborative recommendation association rules. Appl. Intell. 27(1): 67-77 (2007) - [j70]Tzung-Pei Hong, Tzu-Ting Wang, Shyue-Liang Wang:
Mining fuzzy β-certain and β-possible rules from quantitative data based on the variable precision rough-set model. Expert Syst. Appl. 32(1): 223-232 (2007) - [j69]Cheng-Ming Huang, Tzung-Pei Hong, Shi-Jinn Horng:
Mining knowledge from object-oriented instances. Expert Syst. Appl. 33(2): 441-450 (2007) - [j68]Shyue-Liang Wang, Kuan-Wei Huang, Tien-Chin Wang, Tzung-Pei Hong:
Maintenance of informative ruler sets for predictions. Intell. Data Anal. 11(3): 279-292 (2007) - [j67]Wen-Yang Lin, Tzung-Pei Hong, Shyi-Ming Chen:
Editorial. J. Adv. Comput. Intell. Intell. Informatics 11(4): 357 (2007) - [j66]Tzung-Pei Hong, Wen-Yang Lin, Shu-Min Liu, Jiann-Horng Lin:
Dynamically Adjusting Migration Rates for Multi-Population Genetic Algorithms. J. Adv. Comput. Intell. Intell. Informatics 11(4): 410-415 (2007) - [j65]Ching-Yao Wang, Shian-Shyong Tseng, Tzung-Pei Hong, Yianshu Chu:
Online Generation of Association Rules under Multi-dimensional Consideration Based on Negative-Border. J. Inf. Sci. Eng. 23(1): 233-242 (2007) - [j64]Chan-Sheng Kuo, Tzung-Pei Hong, Chuen-Lung Chen:
Applying genetic programming technique in classification trees. Soft Comput. 11(12): 1165-1172 (2007) - 2006
- [j63]Ching-Yao Wang, Shian-Shyong Tseng, Tzung-Pei Hong:
Flexible online association rule mining based on multidimensional pattern relations. Inf. Sci. 176(12): 1752-1780 (2006) - [j62]Tzung-Pei Hong, Kuei-Ying Lin, Shyue-Liang Wang:
Mining fuzzy sequential patterns from quantitative transactions. Soft Comput. 10(10): 925-932 (2006) - [j61]Tzung-Pei Hong, Chun-Hao Chen, Yu-Lung Wu, Yeong-Chyi Lee:
A GA-based Fuzzy Mining Approach to Achieve a Trade-off Between Number of Rules and Suitability of Membership Functions. Soft Comput. 10(11): 1091-1101 (2006) - 2005
- [j60]Yeong-Chyi Lee, Tzung-Pei Hong, Wen-Yang Lin:
Mining association rules with multiple minimum supports using maximum constraints. Int. J. Approx. Reason. 40(1-2): 44-54 (2005) - 2004
- [j59]Tzung-Pei Hong, Chan-Sheng Kuo, Shyue-Liang Wang:
A fuzzy AprioriTid mining algorithm with reduced computational time. Appl. Soft Comput. 5(1): 1-10 (2004) - [j58]Yu-Hui Tao, Tzung-Pei Hong, Sheng-I Sun:
An XML implementation process model for enterprise applications. Comput. Ind. 55(2): 181-196 (2004) - [j57]Wei-Shuo Lo, Tzung-Pei Hong, Shyue-Liang Wang, Yu-Hui Tao:
Semantic Web and Multiple-Agents in SCM. Int. J. Electron. Bus. Manag. 2(2): 122-130 (2004) - 2003
- [j56]Tzung-Pei Hong, Kuei-Ying Lin, Been-Chian Chien:
Mining Fuzzy Multiple-Level Association Rules from Quantitative Data. Appl. Intell. 18(1): 79-90 (2003) - [j55]Ching-Hung Wang, Chang-Jiun Tsai, Tzung-Pei Hong, Shian-Shyong Tseng:
Fuzzy Inductive Learning Strategies. Appl. Intell. 18(2): 179-193 (2003) - [j54]Tzung-Pei Hong, Kuei-Ying Lin, Shyue-Liang Wang:
Fuzzy data mining for interesting generalized association rules. Fuzzy Sets Syst. 138(2): 255-269 (2003) - [j53]Wen-Yang Lin, Wen-Yung Lee, Tzung-Pei Hong:
Adapting Crossover and Mutation Rates in Genetic Algorithms. J. Inf. Sci. Eng. 19(5): 889-903 (2003) - 2002
- [j52]Tzung-Pei Hong, Hong-Shung Wang, Wen-Yang Lin, Wen-Yuan Lee:
Evolution of Appropriate Crossover and Mutation Operators in a Genetic Process. Appl. Intell. 16(1): 7-17 (2002) - [j51]Tzung-Pei Hong, Li-Huei Tseng, Shyue-Liang Wang:
Learning rules from incomplete training examples by rough sets. Expert Syst. Appl. 22(4): 285-293 (2002) - [j50]Been-Chian Chien, Jung-Yi Lin, Tzung-Pei Hong:
Learning discriminant functions with fuzzy attributes for classification using genetic programming. Expert Syst. Appl. 23(1): 31-37 (2002) - [j49]Wei-Chou Chen, Shian-Shyong Tseng, Lu-Ping Chang, Tzung-Pei Hong, Mon-Fong Jiang:
A parallelized indexing method for large-scale case-based reasoning. Expert Syst. Appl. 23(2): 95-102 (2002) - [j48]Ching-Yao Wang, Tzung-Pei Hong, Shian-Shyong Tseng:
Maintenance of discovered sequential patterns for record deletion. Intell. Data Anal. 6(5): 399-410 (2002) - [j47]Tzung-Pei Hong, Ke-Yuan Huang, Wen-Yang Lin:
Applying genetic algorithms to game search trees. Soft Comput. 6(3-4): 277-283 (2002) - [j46]Tzung-Pei Hong, Kuei-Ying Lin, Shyue-Liang Wang:
Mining linguistic browsing patterns in the world wide web. Soft Comput. 6(5): 329-336 (2002) - 2001
- [j45]Tzung-Pei Hong, Ke-Yuan Huang, Wen-Yang Lin:
Adversarial Search by Evolutionary Computation. Evol. Comput. 9(3): 371-385 (2001) - [j44]Tzung-Pei Hong, Ching-Yao Wang, Yu-Hui Tao:
A new incremental data mining algorithm using pre-large itemsets. Intell. Data Anal. 5(2): 111-129 (2001) - [j43]Shyue-Liang Wang, Jenn-Shing Tsai, Tzung-Pei Hong:
Discovering functional dependencies from similarity-based fuzzy relational databases. Intell. Data Anal. 5(2): 131-149 (2001) - [j42]Tzung-Pei Hong, Chan-Sheng Kuo, Sheng-Chai Chi:
Trade-off Between Computation Time and Number of Rules for Fuzzy Mining from Quantitative Data. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 9(5): 587-604 (2001) - [j41]Shyue-Liang Wang, Tzung-Pei Hong, Wen-Yang Lin:
Answering Null Queries by Analogical Reasoning on Similarity-based Fuzzy Relational Databases. J. Adv. Comput. Intell. Intell. Informatics 5(3): 163-171 (2001) - [j40]Tzung-Pei Hong, Tzu-Ting Wang, Shyue-Liang Wang:
A Fuzzy CDS-based Scheduling Algorithm for More Than Two Machine Centers. J. Adv. Comput. Intell. Intell. Informatics 5(4): 239-245 (2001) - [j39]Ching-Hung Wang, Tzung-Pei Hong, Shian-Shyong Tseng:
A Genetics-Based Approach to Knowledge Integration and Refinement. J. Inf. Sci. Eng. 17(1): 85-94 (2001) - [j38]Yao-Tung Hsu, Tzung-Pei Hong, Shian-Shyong Tseng:
Learning Concepts by Arranging Appropriate Training Order. Minds Mach. 11(3): 399-415 (2001) - [j37]Tzung-Pei Hong, Tzu-Ting Wang, Shyue-Liang Wang:
A palmer-based continuous fuzzy flexible flow-shop scheduling algorithm. Soft Comput. 5(6): 426-433 (2001) - 2000
- [j36]Tzung-Pei Hong, Jyh-Bin Chen:
Processing individual fuzzy attributes for fuzzy rule induction. Fuzzy Sets Syst. 112(1): 127-140 (2000) - [j35]Ching-Hung Wang, Tzung-Pei Hong, Shian-Shyong Tseng:
Integrating membership functions and fuzzy rule sets from multiple knowledge sources. Fuzzy Sets Syst. 112(1): 141-154 (2000) - [j34]Tzung-Pei Hong, Hong-Shung Wang, Wei-Chou Chen:
Simultaneously Applying Multiple Mutation Operators in Genetic Algorithms. J. Heuristics 6(4): 439-455 (2000) - [j33]Tzung-Pei Hong, Chai-Ying Lee:
Implementation of Fuzzy Learning from Examples. Intell. Autom. Soft Comput. 6(4): 261-269 (2000) - [j32]Tzung-Pei Hong, Shyue-Liang Wang:
Determining appropriate membership functions to simplify fuzzy induction. Intell. Data Anal. 4(1): 51-66 (2000) - [j31]Tzung-Pei Hong, Tzu-Ting Wang, Shyue-Liang Wang:
Knowledge acquisition from quantitative data using the rough-set theory. Intell. Data Anal. 4(3-4): 289-304 (2000) - [j30]Shyue-Liang Wang, Tzung-Pei Hong:
Incomplete Input Inference on Fuzzy Production Systems Supported by Petri Nets. Int. J. Artif. Intell. Tools 9(4): 537-549 (2000) - [j29]Tzung-Pei Hong, Tzu-Ting Wang:
Fuzzy flexible flow shops at two machine centers for continuous fuzzy domains. Inf. Sci. 129(1-4): 227-237 (2000) - 1999
- [j28]Ching-Hung Wang, Jau-Fu Liu, Tzung-Pei Hong, Shian-Shyong Tseng:
A fuzzy inductive learning strategy for modular rules. Fuzzy Sets Syst. 103(1): 91-105 (1999) - [j27]Tzung-Pei Hong, Jyh-Bin Chen:
Finding relevant attributes and membership functions. Fuzzy Sets Syst. 103(3): 389-404 (1999) - [j26]Tzung-Pei Hong, Chai-Ying Lee:
Effect of merging order on performance of fuzzy induction. Intell. Data Anal. 3(2): 139-151 (1999) - [j25]Tzung-Pei Hong, Chan-Sheng Kuo, Sheng-Chai Chi:
Mining association rules from quantitative data. Intell. Data Anal. 3(5): 363-376 (1999) - [j24]Tzung-Pei Hong, Jyh-Jong Lee:
Parallel Neural Learning for Control Problems on a Bus-Based Architecture. Int. J. High Speed Comput. 10(3): 257-273 (1999) - [j23]Tzung-Pei Hong, Tzung-Nan Chuang:
Fuzzy palmer Scheduling for Flow Shops with More than Two Machines. J. Inf. Sci. Eng. 15(3): 397-406 (1999) - [j22]Wei-Chou Chen, Tzung-Pei Hong, Rong Jeng:
A framework of decision support systems for use on the World Wide Web. J. Netw. Comput. Appl. 22(1): 1-17 (1999) - [j21]Tzung-Pei Hong, Shian-Shyong Tseng:
Splitting and Merging Version Spaces to Learn Disjunctive Concepts. IEEE Trans. Knowl. Data Eng. 11(5): 813-815 (1999) - 1998
- [j20]Tzung-Pei Hong, Cheng-Ming Huang, Kun-Ming Yu:
LPT scheduling for fuzzy tasks. Fuzzy Sets Syst. 97(3): 277-286 (1998) - [j19]Tzung-Pei Hong, Wei-Chou Chen:
Fuzzy Flexible-Flow Shops at Two Machine Centers. J. Adv. Comput. Intell. Intell. Informatics 2(4): 142-149 (1998) - [j18]Tzung-Pei Hong, Tzung-Nan Chuang:
Fuzzy scheduling on two-machine flow shop. J. Intell. Fuzzy Syst. 6(4): 471-481 (1998) - [j17]Tzung-Pei Hong, Tzung-Nan Chuang:
Fuzzy CDS scheduling for flow shops with more than two machines. J. Intell. Fuzzy Syst. 6(4): 483-494 (1998) - [j16]Ching-Hung Wang, Tzung-Pei Hong, Shian-Shyong Tseng:
A New Hybrid Learning Algorithm for Non-Linear Boundaries. J. Inf. Sci. Eng. 14(2): 305-325 (1998) - [j15]Tzung-Pei Hong, Shian-Shyong Tseng:
Primal-Dual Version Spaces for Acquisition of Disjunctive Concepts. J. Inf. Sci. Eng. 14(2): 327-345 (1998) - [j14]Tzung-Pei Hong, Hong-Shung Wang:
Automatically Adjusting Crossover Ratios of Multiple Crossover Operators. J. Inf. Sci. Eng. 14(2): 369-390 (1998) - [j13]Tzung-Pei Hong, Jyh-Jong Lee:
A Nearly Optimal Back-Propagation Learning Algorithm on a Bus-Based Architecture. Parallel Process. Lett. 8(3): 297-306 (1998) - [j12]Ching-Hung Wang, Tzung-Pei Hong, Shian-Shyong Tseng:
Integrating fuzzy knowledge by genetic algorithms. IEEE Trans. Evol. Comput. 2(4): 138-149 (1998) - [j11]Ching-Hung Wang, Tzung-Pei Hong, Shian-Shyong Tseng, Chih-Mao Liao:
Automatically integrating multiple rule sets in a distributed-knowledge environment. IEEE Trans. Syst. Man Cybern. Part C 28(3): 471-476 (1998) - 1997
- [j10]Rong-Huei Hou, Tzung-Pei Hong, Shian-Shyong Tseng, Sy-Yen Kuo:
A New Probabilistic Induction Method. J. Autom. Reason. 18(1): 5-24 (1997) - [j9]Tzung-Pei Hong, Shian-Shyong Tseng:
A Generalized Version Space Learning Algorithm for Noisy and Uncertain Data. IEEE Trans. Knowl. Data Eng. 9(2): 336-340 (1997) - 1996
- [j8]Tzung-Pei Hong, Chai-Ying Lee:
Induction of fuzzy rules and membership functions from training examples. Fuzzy Sets Syst. 84(1): 33-47 (1996) - [j7]Kuo Chin Chang, Tzung-Pei Hong, Shian-Shyong Tseng:
Machine learning by imitating human learning. Minds Mach. 6(2): 203-228 (1996) - [j6]Tzung-Pei Hong, Jyh-Jong Lee, Shian-Shyong Tseng:
A new parallel back-propagation learning algorithm for classification. Neural Parallel Sci. Comput. 4(1): 83-96 (1996) - 1995
- [j5]Ching-Hung Wang, Shian-Shyong Tseng, Tzung-Pei Hong:
Design of a Self-Adaptive Brain Tumor Diagnostic System. J. Inf. Sci. Eng. 11(2): 275-294 (1995) - 1994
- [j4]Tzung-Pei Hong, Shian-Shyong Tseng:
An Optimal Parallel Perceptron Learning Algorithm for a LargeTraining Set. Parallel Comput. 20(3): 347-352 (1994) - [j3]Tzung-Pei Hong, Shian-Shyong Tseng:
Learning Concepts in Parallel Based upon the Strategy of Version Space. IEEE Trans. Knowl. Data Eng. 6(6): 857-867 (1994) - 1992
- [j2]Tzung-Pei Hong, Shian-Shyong Tseng:
A probabilistic perceptron learning algorithm. J. Exp. Theor. Artif. Intell. 4(4): 265-279 (1992) - [j1]Tzung-Pei Hong, Shian-Shyong Tseng:
Parallel perceptron learning on a single-channel broadcast communication model. Parallel Comput. 18(2): 133-148 (1992)
Conference and Workshop Papers
- 2023
- [c282]Tzung-Pei Hong, Jia-Xiang Li, Yu-Chuan Tsai, Wei-Ming Huang:
Tree-Based Unified Temporal Erasable-Itemset Mining. ACIIDS (1) 2023: 224-233 - [c281]Tzung-Pei Hong, Jin-Hang Wu, Ja-Hwung Su, Tang-Kai Yin:
Effective Face Inpainting by Conditional Generative Adversarial Network. IEEE Big Data 2023: 6046-6050 - [c280]Tzung-Pei Hong, Wei-Teng Hung, Yu-Chuan Tsai, Wei-Ming Huang:
Using the Pre-Large Concept for Maintaining High Fuzzy Utility Itemsets. FUZZ 2023: 1-5 - [c279]Tzung-Pei Hong, Meng-Ping Ku, Yu-Chuan Tsai, Wei-Ming Huang, Shu-Min Li:
Trade-off Between Execution Time and Memory Consumption in Fuzzy Average-Utility Mining. iCAST 2023: 301-305 - [c278]Tzung-Pei Hong, Wei-Teng Hung, Yu-Chuan Tsai, Wei-Ming Huang:
Maintenance of High Fuzzy Utility Itemsets Using the Pre-Large-Itemset Concept and Tree Structure. MISNC 2023: 118-123 - [c277]Tzung-Pei Hong, Ya-Ping Hsu, Chun-Hao Chen, Jimmy Ming-Tai Wu:
A Federated Mining Framework for Complete Frequent Itemsets. SMC 2023: 2483-2488 - [c276]Tzung-Pei Hong, Yi-Zhen Xu, Shi-Feng Huang, Yi-Ting Chen, Ming-Han Lee:
Automatic Identification of Table Contents in Electronic Component Specifications of EDA. TAAI (2) 2023: 131-141 - 2022
- [c275]Chun-Hao Chen, Yu-Qi Huang, Tzung-Pei Hong:
Using GPUs to Speed Up Genetic-Fuzzy Data Mining with Evaluation on All Large Itemsets. ACIIDS (1) 2022: 17-26 - [c274]Tzung-Pei Hong, Wei-Teng Hung, Wei-Ming Huang, Yu-Chuan Tsai:
Incremental Fuzzy Utility Mining with Tree Structure. IEEE Big Data 2022: 6202-6206 - [c273]Tzung-Pei Hong, Jia-Xiang Li, Yu-Chuan Tsai, Wei-Ming Huang:
Unified Temporal Erasable Itemset Mining with a Lower-Bound Strategy. IEEE Big Data 2022: 6207-6211 - [c272]Tzung-Pei Hong, Wei-Chou Chen, Chih-Hung Wu, Bo-Wen Xiao, Bing-Yang Chiang, Zhi-Xun Shen:
Information Extraction and Analysis on Certificates and Medical Receipts. ICCE 2022: 1-4 - [c271]Tang-Kai Yin, Liang-Yue Wu, Tzung-Pei Hong:
Axial Attention Inside a U-Net for Semantic Segmentation of 3D Sparse LiDAR Point Clouds. IV 2022: 1543-1549 - [c270]Tzung-Pei Hong, Wei-Teng Hung, Wei-Ming Huang, Yu-Chuan Tsai:
Incremental High Fuzzy Utility Itemset Mining. MISNC 2022: 66-69 - [c269]Chun-Hao Chen, Wei-Hsun Lai, Kudakwashe Chideme, Tzung-Pei Hong:
GPU-based Advanced Long-Short Pair Trading Strategy Optimization Technique. SCIS/ISIS 2022: 1-4 - 2021
- [c268]Chun-Hao Chen, Chong-You Ye, Yeong-Chyi Lee, Tzung-Pei Hong:
A SPEA-Based Group Trading Strategy Portfolio Optimization Algorithm. ACIIDS 2021: 583-592 - [c267]Tzung-Pei Hong, Hsiu-Wei Chiu, Shih-Feng Huang, Yi-Ting Chen:
Deep-learning-based Extraction of Electronic Component Parameters from Datasheets. IEEE BigData 2021: 5501-5506 - [c266]Chun-Hao Chen, Wei-Hsun Lai, Tzung-Pei Hong:
An Effective Correlation-Based Pair Trading Strategy Using Genetic Algorithms. ICCCI 2021: 255-263 - [c265]Tzung-Pei Hong, Meng-Ping Ku, Hsiu-Wei Chiu, Wei-Ming Huang, Shu-Min Li, Jerry Chun-Wei Lin:
A Single-Stage Tree-Structure-Based Approach to Determine Fuzzy Average-Utility Itemsets. IEA/AIE (1) 2021: 66-72 - [c264]Tzung-Pei Hong, Hao Chang, Shu-Min Li, Yu-Chuan Tsai:
A Dedicated Temporal Erasable-Itemset Mining Algorithm. ISDA 2021: 977-985 - [c263]Tzung-Pei Hong, Wei-Chun Peng, Ja-Hwung Su, Shyue-Liang Wang:
Fuzzy Adaptive Focal Loss for Imbalanced Datasets. IST 2021: 1-5 - [c262]Been-Chian Chien, Yueh-Chia Hsu, Tzung-Pei Hong:
An Efficient Class-incremental Learning Strategy with Frozen Weights and Pseudo Exemplars. MISNC 2021: 86-90 - [c261]Tzung-Pei Hong, Hao Chang, Shu-Min Li, Yu-Chuan Tsai:
A Unified Temporal Erasable Itemset Mining Approach. TAAI 2021: 194-198 - 2020
- [c260]Ja-Hwung Su, Tzung-Pei Hong, Hsuan-Hao Yeh:
Music Classification by Automated Relevance Feedbacks. ACIIDS (Companion) 2020: 25-34 - [c259]Pei-Yu Huang, Chih-Sheng Hsu, Tzung-Pei Hong, Yan-Zhih Wang, Shin-Feng Huang, Shu-Min Li:
Automatic Parameter Setting in Hough Circle Transform. ACIIDS (1) 2020: 527-535 - [c258]Chun-Hao Chen, Che-Kai Fan, Tzung-Pei Hong:
Construction of an Intelligent Tennis Coach Based on Kinect and a Sensor-Based Tennis Racket. ACIIDS (1) 2020: 536-544 - [c257]Tzung-Pei Hong, Ming-Jhe Hu, Tank-Kai Yin, Shyue-Liang Wang:
Extracting Multi-Scale Rotation-Invariant Features in Convolution Neural Networks. IEEE BigData 2020: 5360-5365 - [c256]Jerry Chun-Wei Lin, Gautam Srivastava, Yuanfa Li, Tzung-Pei Hong, Shyue-Liang Wang:
Mining High-Utility Sequential Patterns in Uncertain Databases. IEEE BigData 2020: 5373-5380 - [c255]Tzung-Pei Hong, Cheng-Yu Lin, Wei-Ming Huang, Shu-Min Li, Shyue-Liang Wang, Jerry Chun-Wei Lin:
One-Phase Temporal Fuzzy Utility Mining. FUZZ-IEEE 2020: 1-5 - [c254]Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu, Youcef Djenouri, Gautam Srivastava, Tzung-Pei Hong:
Mining Multiple Fuzzy Frequent Patterns with Compressed List Structures. FUZZ-IEEE 2020: 1-8 - [c253]Tzung-Pei Hong, Meng-Ping Ku, Wei-Ming Huang, Shu-Min Li, Jerry Chun-Wei Lin:
A Tree-based Fuzzy Average-Utility Mining Algorithm. ICDM (Workshops) 2020: 669-672 - [c252]Chen-Sen Ouyang, Ming-Hsu Wu, Tzung-Pei Hong:
An Automatic Labeling Approach for Stable and Unstable Human Gait Classification in Videos. MISNC/IEMT 2020: 13:1-13:4 - [c251]Ja-Hwung Su, Tzung-Pei Hong, Yao-Hong Hsieh, Shu-Min Li:
Effective Music Emotion Recognition by Segment-based Progressive Learning. SMC 2020: 3072-3076 - 2019
- [c250]Ja-Hwung Su, Chu-Yu Chin, Tzung-Pei Hong, Jung-Jui Su:
Content-Based Music Classification by Advanced Features and Progressive Learning. ACIIDS (2) 2019: 117-130 - [c249]Tzung-Pei Hong, Yu-Chiao Yang, Ja-Hwung Su, Chun-Hao Chen:
Content-Based Motorcycle Counting for Traffic Management by Image Recognition. ACIIDS (2) 2019: 180-188 - [c248]Tzung-Pei Hong, Cheng-Yu Lin, Wei-Ming Huang, Shu-Min Li, Shyue-Liang Wang, Jerry Chun-Wei Lin:
Mining Temporal Fuzzy Utility Itemsets by Tree Structure. IEEE BigData 2019: 2659-2663 - [c247]Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Tomasz Wiktorski, Tzung-Pei Hong, Matin Pirouz:
A GA-based Framework for Mining High Fuzzy Utility Itemsets. IEEE BigData 2019: 2708-2715 - [c246]Chun-Hao Chen, Wan-Yi Shen, Mu-En Wu, Tzung-Pei Hong:
A Divide-and-Conquer-based Approach for Diverse Group Stock Portfolio Optimization Using Island-based Genetic Algorithms. CEC 2019: 1473-1471 - [c245]Tzung-Pei Hong, Ping-Hung Chiang, Wei-Ming Huang, Jerry Chun-Wei Lin:
Fuzzy Utility Mining Under Minimum Weight Constraint of Multiple Item Weights. ICDM Workshops 2019: 982-986 - [c244]Chun-Hao Chen, Munkhjargal Gankhuyag, Tzung-Pei Hong, Mu-En Wu, Jimmy Ming-Tai Wu:
A Multiobjective-Based Group Trading Strategy Portfolio Optimization Technique. ICGEC 2019: 87-93 - [c243]Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu, Philippe Fournier-Viger, Tzung-Pei Hong, Ting Li:
Efficient Mining of High Average-Utility Sequential Patterns from Uncertain Databases. SMC 2019: 1989-1994 - [c242]Huy Minh Huynh, Loan T. T. Nguyen, Bay Vo, Zuzana Komínková Oplatková, Tzung-Pei Hong:
Mining Clickstream Patterns Using IDLists. SMC 2019: 2007-2012 - [c241]Chun-Hao Chen, Chia-Yuan Cheng, Tzung-Pei Hong, Mu-En Wu, Kawuu W. Lin, Jerry Chun-Wei Lin:
An Evolutionary-based Algorithm for Multi-Period Grouping Stock Portfolio Optimization. SMC 2019: 2530-2534 - [c240]Tzung-Pei Hong, Hsiang-Wei Chen, Wei-Ming Huang, Chun-Hao Chen:
Erasable Pattern Mining with Quantitative Information. TAAI 2019: 1-4 - 2018
- [c239]Chun-Hao Chen, Bing-Yang Chiang, Tzung-Pei Hong, Ding-Chau Wang, Jerry Chun-Wei Lin:
An Approach for Diverse Group Stock Portfolio Optimization Using the Fuzzy Grouping Genetic Algorithm. ACIIDS (1) 2018: 510-518 - [c238]Yu-Chuan Tsai, Shyue-Liang Wang, I-Hsien Ting, Tzung-Pei Hong:
Flexible Anonymization of Transactions with Sensitive Items. BESC 2018: 201-206 - [c237]Chun-Hao Chen, Bing-Yang Chiang, Tzung-Pei Hong:
An Approach for Optimizing Group Stock Portfolio Using Multi-Objective Genetic Algorithm. BESC 2018: 213-215 - [c236]Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Tzung-Pei Hong, Philip S. Yu:
CoUPM: Correlated Utility-based Pattern Mining. IEEE BigData 2018: 2607-2616 - [c235]Tzung-Pei Hong, Chia-Che Li, Shyue-Liang Wang, Jerry Chun-Wei Lin:
Reducing Database Scan in Maintaining Erasable Itemsets from Product Deletion. IEEE BigData 2018: 2627-2632 - [c234]Tzung-Pei Hong, Yu-Chiao Yang, Ja-Hwung Su, Shyue-Liang Wang:
Recognition and Counting of Motorcycles by Fusing Support Vector Machine and Deep Learning. ICS 2018: 157-162 - [c233]Tzung-Pei Hong, Chia-Che Li, Shyue-Liang Wang, Chun-Wei Lin:
Maintenance of Erasable Itemsets for Product Deletion. MISNC 2018: 18:1-18:4 - [c232]Chun-Hao Chen, Yu-Hsuan Chen, Mu-En Wu, Tzung-Pei Hong:
A Sophisticated Optimization Algorithm for Obtaining a Group Trading Strategy Portfolio and Its Stop-Loss and Take-Profit Points. SMC 2018: 3417-3420 - [c231]Jerry Chun-Wei Lin, Yuyu Zhang, Chun-Hao Chen, Jimmy Ming-Tai Wu, Chien-Ming Chen, Tzung-Pei Hong:
A Multiple Objective PSO-Based Approach for Data Sanitization. TAAI 2018: 148-151 - [c230]Ja-Hwung Su, Tzung-Pei Hong, Jyun-Yu Li, Jung-Jui Su:
Personalized Content-Based Music Retrieval by User-Filtering and Query-Refinement. TAAI 2018: 177-180 - 2017
- [c229]Ja-Hwung Su, Tzung-Pei Hong, Chu-Yu Chin, Zhi-Feng Liao, Shyr-Yuan Cheng:
A High-Performance Algorithm for Mining Repeating Patterns. ACIIDS (1) 2017: 631-640 - [c228]Chun-Hao Chen, Jonathan Coupe, Tzung-Pei Hong:
Optimizing Diverse Group Stock Portfolio without Setting a Number of Groups. AINA 2017: 594-598 - [c227]Tzung-Pei Hong, Lu-Hung Chen, Shyue-Liang Wang, Chun-Wei Lin, Bay Vo:
Quasi-erasable itemset mining. IEEE BigData 2017: 1816-1820 - [c226]Tzung-Pei Hong, Yuan-Ching Peng, Wen-Yang Lin, Shyue-Liang Wang:
Migration Effect of Hierarchical Multi-Population Genetic Algorithm. CYBCONF 2017: 1-4 - [c225]Wei-Ming Huang, Tzung-Pei Hong, Guo-Cheng Lan, Ming-Chao Chiang, Jerry Chun-Wei Lin:
Mining Erasable Itemsets Using Bitmap Representation. ICGEC 2017: 37-43 - [c224]Tsu-Yang Wu, Jerry Chun-Wei Lin, Yinan Shao, Philippe Fournier-Viger, Tzung-Pei Hong:
Updating the Discovered High Average-Utility Patterns with Transaction Insertion. ICGEC 2017: 66-73 - [c223]Chun-Hao Chen, Wan-Yi Shen, Tzung-Pei Hong, Ja-Hwung Su:
An island-based algorithm for group stock portfolio optimization. IFSA-SCIS 2017: 1-5 - [c222]Tzung-Pei Hong, Kun-Yi Lin, Chun-Wei Lin, Bay Vo:
An incremental mining algorithm for erasable itemsets. INISTA 2017: 286-289 - [c221]Tzung-Pei Hong, Jen-Hao Hsu, Guo-Cheng Lan, Kung-Jiuan Yang, Shyue-Liang Wang, Jerry Chun-Wei Lin:
High Utility Partial Periodic Pattern Mining. MISNC 2017: 35:1-35:4 - [c220]Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, Tzung-Pei Hong:
Mining of High Average-Utility Itemsets with a Tighter Upper-Bound Model. MISNC 2017: 37:1-37:6 - [c219]Tzung-Pei Hong, Jen-Hao Hsu, Kung-Jiuan Yang, Guo-Cheng Lan, Jerry Chun-Wei Lin, Shyue-Liang Wang:
Mining high utility partial periodic pattern by GPA. SMC 2017: 820-824 - [c218]Chun-Hao Chen, Tzung-Pei Hong, Shih-Chi Chu:
Diverse Group Stock Portfolio Optimization Based on Investor Sentiment Index. TAAI 2017: 100-103 - 2016
- [c217]Jerry Chun-Wei Lin, Xianbiao Lv, Philippe Fournier-Viger, Tsu-Yang Wu, Tzung-Pei Hong:
Efficient Mining of Fuzzy Frequent Itemsets with Type-2 Membership Functions. ACIIDS (2) 2016: 191-200 - [c216]Tzung-Pei Hong, Min-Thai Wu, Yan-Kang Li, Chun-Hao Chen:
Mining Drift of Fuzzy Membership Functions. ACIIDS (2) 2016: 211-218 - [c215]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong:
Mining Discriminative High Utility Patterns. ACIIDS (2) 2016: 219-229 - [c214]Ja-Hwung Su, Tzung-Pei Hong, Yu-Tang Chang, Hsu-Yuan Tung:
Un-Supervised, Semi-Supervised and Supervised Image Retrieval Based on Conceptual Features. BigMM 2016: 129-132 - [c213]Chun-Hao Chen, Cheng-Yu Lu, Tzung-Pei Hong, Ja-Hwung Su:
Using grouping genetic algorithm to mine diverse group stock portfolio. CEC 2016: 4734-4738 - [c212]Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, Ja-Hwung Su:
Fast algorithms for mining multiple fuzzy frequent itemsets. FUZZ-IEEE 2016: 2113-2119 - [c211]Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, Ja-Hwung Su:
Efficient Mining of High Average-Utility Itemsets with Multiple Minimum Thresholds. ICDM 2016: 14-28 - [c210]Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Tzung-Pei Hong, Justin Zhan, Miroslav Voznák:
An Efficient Anonymous System for Transaction Data. MISNC 2016: 28 - [c209]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong:
Efficient Mining of Weighted Frequent Itemsets in Uncertain Databases. MLDM 2016: 236-250 - [c208]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong:
Efficient algorithms for mining recent weighted frequent itemsets in temporal transactional databases. SAC 2016: 861-866 - [c207]Jerry Chun-Wei Lin, Jiexiong Zhang, Philippe Fournier-Viger, Tzung-Pei Hong, Chien-Ming Chen, Ja-Hwung Su:
Efficient mining of short periodic high-utility itemsets. SMC 2016: 3083-3088 - [c206]Tzung-Pei Hong, Yu-Yang Liu, Min-Thai Wu, Chun-Hao Chen, Shyue-Liang Leon Wang:
Genetic-fuzzy mining with MapReduce. SMC 2016: 3294-3298 - [c205]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Efficient Mining of Uncertain Data for High-Utility Itemsets. WAIM (1) 2016: 17-30 - 2015
- [c204]Chun-Hao Chen, Tzung-Pei Hong, Yu Li:
Fuzzy Association Rule Mining with Type-2 Membership Functions. ACIIDS (2) 2015: 128-134 - [c203]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong:
Mining Weighted Frequent Itemsets with the Recency Constraint. APWeb 2015: 635-646 - [c202]Shyue-Liang Wang, Min-Jye Hsiu, I-Hsien Ting, Tzung-Pei Hong:
Toward Analyzing Privacy and Utility of Mobile User Data. ASE BD&SI 2015: 21:1-21:6 - [c201]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Mining Potential High-Utility Itemsets over Uncertain Databases. ASE BD&SI 2015: 25:1-25:6 - [c200]R. Devi, S. R. Kannan, Tzung-Pei Hong, S. Ramathilagam:
Fuzzy Clustering Systems in Analyzing High Dimensional Database. ASE BD&SI 2015: 36:1-36:4 - [c199]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong:
Mining High-Utility Itemsets with Multiple Minimum Utility Thresholds. C3S2E 2015: 9-17 - [c198]Chun-Hao Chen, Yu Li, Tzung-Pei Hong, Yan-Kang Li, Eric Hsueh-Chan Lu:
A GA-based approach for mining membership functions and concept-drift patterns. CEC 2015: 2961-2965 - [c197]Tzung-Pei Hong, Ling-I Huang, Wen-Yang Lin, Yu-Yang Liu, Goutam Chakraborty:
Dynamic migration in multiple ant colonies. CYBCONF 2015: 146-150 - [c196]Piotr Jedrzejowicz, Ngoc Thanh Nguyen, Tzung-Pei Hong, Ireneusz Czarnowski:
Preface. CYBCONF 2015 - [c195]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Mining high-utility itemsets with various discount strategies. DSAA 2015: 1-10 - [c194]Tzung-Pei Hong, Yu-Yang Liu, Min-Thai Wu, Chun-Wei Tsai:
Efficient data preprocessing for genetic-fuzzy mining with MapReduce. ICCE-TW 2015: 88-89 - [c193]Jerry Chun-Wei Lin, Tsu-Yang Wu, Philippe Fournier-Viger, Guo Lin, Tzung-Pei Hong, Jeng-Shyang Pan:
A Sanitization Approach of Privacy Preserving Utility Mining. ICGEC (2) 2015: 47-57 - [c192]Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Vincent S. Tseng:
Hewin: High expected weighted itemset mining in uncertain databases. ICMLC 2015: 439-444 - [c191]Kuei-Ying Lin, Pi-Chung Wang, Tzung-Pei Hong:
A greedy algorithm in WSNs for maximum network lifetime and communication reliability. ICNSC 2015: 87-92 - [c190]Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Tzung-Pei Hong, Jeng-Shyang Pan:
A Swarm-Based Sanitization Approach for Hiding Confidential Itemsets. IIH-MSP 2015: 227-230 - [c189]Yu-Chuan Tsai, Shyue-Liang Wang, Tzung-Pei Hong, Hung-Yu Kao:
Extending [K 1 , K 2 ] Anonymization of Shortest Paths for Social Networks. MISNC 2015: 187-199 - [c188]Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Jimmy Ming-Tai Wu, Tzung-Pei Hong, Shyue-Liang Leon Wang:
A Swarm-Based Approach to Mine High-Utility Itemsets. MISNC 2015: 572-581 - [c187]Tzung-Pei Hong, Jui-Chi Chen, Wen-Yang Lin, Chun-Hao Chen:
Analysis of Parallel Sub-swarm PSO with the Same Total Particle Numbers. NBiS 2015: 616-619 - [c186]Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong:
A Fast Algorithm to Maintain the Discovered High-Utility Itemsets with Modified Records. SMC 2015: 2573-2578 - [c185]Duy Ham Nguyen, Bay Vo, Thi Hong, Minh Nguyen, Tzung-Pei Hong:
An Improved Algorithm for Mining Frequent Weighted Itemsets. SMC 2015: 2579-2584 - [c184]Chun-Hao Chen, Yu Li, Tzung-Pei Hong:
Type-2 genetic-fuzzy mining with tuning mechanism. TAAI 2015: 296-299 - 2014
- [c183]Chun-Hao Chen, Yu Li, Tzung-Pei Hong:
Multi-Level Genetic-Fuzzy Mining with a Tuning Mechanism. ACIIDS (2) 2014: 82-89 - [c182]Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Jeng-Shyang Pan:
Incrementally Updating High-Utility Itemsets with Transaction Insertion. ADMA 2014: 44-56 - [c181]Tien Lu, Bay Vo, Hien T. Nguyen, Tzung-Pei Hong:
A New Method for Mining High Average Utility Itemsets. CISIM 2014: 33-42 - [c180]Chun-Hao Chen, Guo-Cheng Lan, Tzung-Pei Hong, Shyue-Liang Wang, Yui-Kai Lin:
A Projection-Based Approach for Mining Highly Coherent Association Rules. ECC (1) 2014: 69-78 - [c179]Chun-Wei Lin, Tzung-Pei Hong, Hung-Chuan Hsu:
Hiding Sensitive Itemsets with Minimal Side Effects in Privacy Preserving Data Mining. ECC (1) 2014: 87-95 - [c178]Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Raylin Tso:
An Incremental Algorithm for Maintaining the Built FUSP Trees Based on the Pre-large Concepts. ECC (1) 2014: 135-144 - [c177]Yu Li, Chun-Hao Chen, Tzung-Pei Hong, Yeong-Chyi Lee:
Genetic-fuzzy mining with type-2 membership functions. FUZZ-IEEE 2014: 1985-1989 - [c176]Yeong-Chyi Lee, Qing-Fu Qi, Tzung-Pei Hong, Chun-Hao Chen:
A GA-based scheduling algorithm on parallel machines with heterogeneous mounted molds. GrC 2014: 147-150 - [c175]Guo-Cheng Lan, Tzung-Pei Hong, Yu-Te Chao:
Multi-criteria Utility Mining Using Maximum Constraints. ICCCI 2014: 466-471 - [c174]Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Chien-Ming Chen:
Maintaining high-utility itemsets in dynamic databases. ICMLC 2014: 469-474 - [c173]Chun-Wei Lin, Tsu-Yang Wu, Guo Lin, Tzung-Pei Hong:
Maintenance algorithm for updating the discovered multiple fuzzy frequent itemsets for transaction deletion. ICMLC 2014: 475-480 - [c172]Guo-Cheng Lan, Tzung-Pei Hong, Yu-Te Chao:
Multi-criteria Utility Mining Using Minimum Constraints. IEA/AIE (2) 2014: 42-47 - [c171]Ci-Rong Li, Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong:
A Modified Maintenance Algorithm for Updating FUSP Tree in Dynamic Database. IEA/AIE (1) 2014: 301-310 - [c170]Shin-Shou Chen, Chien-Feng Huang, Tzung-Pei Hong, Bao Rong Chang:
Using a Genetic Model for Asset Allocation in Stock Investment. ICS 2014: 167-174 - [c169]Guo-Cheng Lan, Tzung-Pei Hong, Yu-Chieh Tseng, Shyue-Liang Wang:
Utility Knowledge Fusion in a Multi-site Environment. MISNC 2014: 171-178 - [c168]Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Jeng-Shyang Pan:
Updating the Built FUSP Trees with Sequence Deletion Based on Prelarge Concept. MISNC 2014: 417-426 - [c167]Yu-Chuan Tsai, Shyue-Liang Wang, Tzung-Pei Hong, Hung-Yu Kao:
[K1, K2]-anonymization of Shortest Paths. MoMM 2014: 317-321 - [c166]Tzung-Pei Hong, Ling-I Huang, Wen-Yang Lin:
A Different Perspective on Parallel Sub-Ant-Colonies. MoMM 2014: 322-325 - [c165]Guo-Cheng Lan, Tzung-Pei Hong, Yi-Hsin Lin, Shyue-Liang Wang:
Fast discovery of high fuzzy utility itemsets. SMC 2014: 2764-2767 - [c164]Shin-Shou Chen, Chien-Feng Huang, Tzung-Pei Hong:
An Improved Multi-Objective Genetic Model for Stock Selection with Domain Knowledge. TAAI 2014: 66-73 - 2013
- [c163]Guo-Cheng Lan, Tzung-Pei Hong, Pei-Shan Wu, Shusaku Tsumoto:
Mining hierarchical temporal association rules in a publication database. ICCI*CC 2013: 503-508 - [c162]Shing-Tai Pan, Yan-Jia Chiou, Tzung-Pei Hong, Hung-Chin Chen:
Automatic recognition for arrhythmias with the assistance of Hidden Markov model. ICICS 2013: 1-5 - [c161]Kung-Jiuan Yang, Guo-Cheng Lan, Tzung-Pei Hong, Yuh-Min Chen:
Partial periodic patterns mining with multiple minimum supports. ICICS 2013: 1-4 - [c160]Bac Le, Chanh-Truc Tran, Tzung-Pei Hong, Bay Vo:
A Space-Time Trade Off for FUFP-trees Maintenance. ACIIDS (2) 2013: 206-214 - [c159]Chun-Wei Lin, Guo-Cheng Lan, Tzung-Pei Hong, Lingping Kong:
Mining High Utility Itemsets Based on Transaction Deletion. EMC/HumanCom 2013: 983-990 - [c158]Chun-Hao Chen, Ji-Syuan He, Tzung-Pei Hong:
A two-stage multi-objective genetic-fuzzy mining algorithm. GEFS 2013: 16-20 - [c157]Chun-Wei Lin, Tzung-Pei Hong, Jia-Wei Wong, Guo-Cheng Lan:
Privacy preserving high utility mining based on genetic algorithms. GrC 2013: 191-195 - [c156]Guo-Cheng Lan, Tzung-Pei Hong, Yi-Hsin Lin, Chun-Wei Tsai:
Mining fuzzy frequent itemsets by projection techniques. ICMLC 2013: 1691-1694 - [c155]Shyue-Liang Wang, Jia-Wei Chen, I-Hsien Ting, Tzung-Pei Hong:
Sensitive and Neighborhood Privacy on Shortest Paths in the Cloud. iiWAS 2013: 555 - [c154]Bay Vo, Chun-Wei Lin, Tzung-Pei Hong, Vinh V. Vu, Minh Nguyen, Bac Le:
An Efficient Method for Hiding High Utility Itemsets. KES-AMSTA 2013: 356-363 - [c153]Bay Vo, Tuong Le, Tzung-Pei Hong, Bac Le:
Maintenance of a Frequent-Itemset Lattice Based on Pre-large Concept. KSE (2) 2013: 295-305 - [c152]Shyue-Liang Wang, Ching-Chuan Shih, I-Hsien Ting, Tzung-Pei Hong:
Degree Anonymization for K-Shortest-Path Privacy. SMC 2013: 1093-1097 - [c151]Guo-Cheng Lan, Tzung-Pei Hong, Hong-Yu Lee, Shyue-Liang Wang, Chun-Wei Tsai:
Enhancing the Efficiency in Mining Weighted Frequent Itemsets. SMC 2013: 1104-1108 - [c150]Chun-Wei Tsai, Alexander Pelov, Ming-Chao Chiang, Chu-Sing Yang, Tzung-Pei Hong:
A Brief Introduction to Classification for Smart Grid. SMC 2013: 2905-2909 - [c149]Bay Vo, Frans Coenen, Tuong Le, Tzung-Pei Hong:
A Hybrid Approach for Mining Frequent Itemsets. SMC 2013: 4647-4651 - 2012
- [c148]Tzung-Pei Hong, Chun-Wei Lin, Tsung-Ching Lin, Yi-Fan Chen, Shing-Tai Pan:
Integration of Multiple Fuzzy FP-trees. ACIIDS (1) 2012: 330-337 - [c147]Tzung-Pei Hong, Feng-Shih Lin, Chun-Hao Chen:
Using the group genetic algorithm for attribute clustering. IEEE Congress on Evolutionary Computation 2012: 1-5 - [c146]Chun-Hao Chen, Ai-Fang Li, Yeong-Chyi Lee, Tzung-Pei Hong:
Mining fuzzy coherent rules from quantitative transactions without minimum support threshold. FUZZ-IEEE 2012: 1-5 - [c145]Tzung-Pei Hong, Chun-Wei Lin, Tsung-Ching Lin, Shyue-Liang Wang:
Incremental multiple fuzzy frequent pattern tree. FUZZ-IEEE 2012: 1-5 - [c144]Chun-Wei Tsai, Tzu-Yuan Lin, Ming-Chao Chiang, Chu-Sing Yang, Tzung-Pei Hong:
Continuous space pattern reduction for genetic clustering algorithm. GECCO (Companion) 2012: 1475-1476 - [c143]Chun-Hao Chen, Chi-Hsuan Ho, Tzung-Pei Hong, Wei-Tee Lin:
MOGA for multi-level fuzzy data mining. GrC 2012: 32-37 - [c142]Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng, Shyue-Liang Wang:
An improved approach for sequential utility pattern mining. GrC 2012: 226-230 - [c141]Loan T. T. Nguyen, Bay Vo, Tzung-Pei Hong, Hoang Chi Thanh:
A fast algorithm for classification based on association rules. GrC 2012: 365-369 - [c140]Tzung-Pei Hong, Ting-I Chien, Yeong-Chyi Lee, Yu-Lung Wu:
A Bio-Inspired Algorithm for Solving the Scheduling Problems with Redundant Molds. IBICA 2012: 24-28 - [c139]Chanh-Truc Tran, Bay Vo, Tzung-Pei Hong, Chun-Wei Lin, Bac Le:
An Enhanced FUFP-Tree Maintenance Approach for Transaction Deletion. IBICA 2012: 45-50 - [c138]Bay Vo, Minh-Thai Tran, Tzung-Pei Hong, Hieu Nguyen, Bac Le:
A Dynamic Bit-vector Approach for Efficiently Mining Inter-sequence Patterns. IBICA 2012: 51-56 - [c137]Yu-Chuan Tsai, Shyue-Liang Wang, Hung-Yu Kao, Tzung-Pei Hong:
Confining Edge Types in K-anonymization of Shortest Paths. IBICA 2012: 318-322 - [c136]Loan T. T. Nguyen, Bay Vo, Tzung-Pei Hong, Hoang Chi Thanh:
Interestingness Measures for Classification Based on Association Rules. ICCCI (2) 2012: 383-392 - [c135]Thi-Thiet Pham, Jiawei Luo, Tzung-Pei Hong, Bay Vo:
MSGPs: A Novel Algorithm for Mining Sequential Generator Patterns. ICCCI (2) 2012: 393-401 - [c134]Shyue-Liang Wang, Chung-Yi Chen, I-Hsien Ting, Tzung-Pei Hong:
Anonymous spatial query on non-uniform data. iiWAS 2012: 126-131 - [c133]Thien-Phuong Le, Tzung-Pei Hong, Bay Vo, Bac Le:
An Efficient Incremental Mining Approach Based on IT-Tree. RIVF 2012: 1-5 - [c132]Shyue-Liang Wang, Chung-Yi Chen, I-Hsien Ting, Tzung-Pei Hong:
Multi-layer partition for query location anonymization. SMC 2012: 378-383 - [c131]Chun-Hao Chen, Guo-Cheng Lan, Tzung-Pei Hong, Yui-Kai Lin:
A High Coherent Association Rule Mining Algorithm. TAAI 2012: 1-4 - [c130]Bac Le, Thien-Phuong Le, Bay Vo, Tzung-Pei Hong:
Maintenance of DBV-Trees for Transaction Insertion. TAAI 2012: 165-170 - [c129]Wen-Yang Lin, Tzung-Pei Hong, Shu-Min Liu, Jiann-Horng Lin:
Revisiting the Design of Adaptive Migration Schemes for Multipopulation Genetic Algorithms. TAAI 2012: 338-343 - [c128]Yau-Hwang Kuo, Vincent Shin-Mu Tseng, Hung-Yu Kao, Tzung-Pei Hong, Mong-Fong Horng:
TAAI 2012 Preface. TAAI 2012: xi - 2011
- [c127]Shyue-Liang Wang, Zheng-Ze Tsai, Tzung-Pei Hong, I-Hsien Ting:
Anonymizing Shortest Paths on Social Network Graphs. ACIIDS (1) 2011: 129-136 - [c126]Tzung-Pei Hong, Chun-Wei Lin, Tsung-Ching Lin, Shing-Tai Pan:
Upper-bound multiple fuzzy frequent-pattern trees. FUZZ-IEEE 2011: 218-222 - [c125]Chun-Hao Chen, Tzung-Pei Hong, Yeong-Chyi Lee:
A multiple-level genetic-fuzzy mining algorithm. FUZZ-IEEE 2011: 278-282 - [c124]Shing-Tai Pan, Sheng-Fu Liang, Tzung-Pei Hong, Jian-Hong Zeng:
Apply fuzzy vector quantization to improve the observation-based Discrete Hidden Markov Model - An example on electroencephalogram (EEG) signal recognition. FUZZ-IEEE 2011: 1674-1680 - [c123]Tzung-Pei Hong, Chun-Wei Lin, Chia-Ching Chang, Shyue-Liang Wang:
Hiding sensitive itemsets by inserting dummy transactions. GrC 2011: 246-249 - [c122]Thien-Phuong Le, Bay Vo, Tzung-Pei Hong, Bac Le:
Incremental mining frequent itemsets based on the trie structure and the pre-large itemsets. GrC 2011: 369-373 - [c121]Shyue-Liang Wang, Yu-Chuan Tsai, Hung-Yu Kao, Tzung-Pei Hong:
K-anonymity on sensitive transaction items. GrC 2011: 723-727 - [c120]Guo-Cheng Lan, Chun-Hao Chen, Tzung-Pei Hong, Shih-Bin Lin:
A fuzzy approach for mining general temporal association rules in a publication database. HIS 2011: 611-615 - [c119]Shyue-Liang Wang, Zheng-Ze Tsai, Tzung-Pei Hong, I-Hsien Ting, Yu-Chuan Tsai:
Anonymizing Multiple K-anonymous Shortest Paths for Social Graphs. IBICA 2011: 195-198 - [c118]Chun-Wei Lin, Tzung-Pei Hong, Hong-Yu Lee, Shyue-Liang Wang:
Maintenance of Pre-large FUSP Trees in Dynamic Databases. IBICA 2011: 199-202 - [c117]Tzung-Pei Hong, Chun-Wei Lin, Kuo-Tung Yang, Shyue-Liang Wang:
A Heuristic Data-Sanitization Approach Based on TF-IDF. IEA/AIE (1) 2011: 156-164 - [c116]Tzung-Pei Hong, Jheng-Nan Huang, Wen-Yang Lin, Ming-Chao Chiang:
GA-based item partition for data mining. SMC 2011: 2238-2242 - [c115]Tzung-Pei Hong, Chun-Wei Lin, Kuo-Tung Yang, Shyue-Liang Wang:
A lattice-based data sanitization approach. SMC 2011: 2325-2329 - 2010
- [c114]Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu:
Efficiently Mining High Average Utility Itemsets with a Tree Structure. ACIIDS (1) 2010: 131-139 - [c113]Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng:
A Three-Scan Algorithm to Mine High On-Shelf Utility Itemsets. ACIIDS (2) 2010: 351-358 - [c112]Tzung-Pei Hong, Po-Cheng Wang, Chuan-Kang Ting:
An evolutionary attribute clustering and selection method based on feature similarity. IEEE Congress on Evolutionary Computation 2010: 1-5 - [c111]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
A SPEA2-based genetic-fuzzy mining algorithm. FUZZ-IEEE 2010: 1-5 - [c110]Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu:
A two-phase fuzzy mining approach. FUZZ-IEEE 2010: 1-5 - [c109]Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng:
Genetic-Fuzzy Data Mining Techniques. GrC 2010: 26-27 - [c108]Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng:
A Summary of Genetic-Fuzzy Data Mining Techniques. GrC 2010: 28-29 - [c107]Chun-Wei Lin, Tzung-Pei Hong, Guo-Cheng Lan, Hsin-Yi Chen, Hung-Yu Kao:
Incrementally Mining High Utility Itemsets in Dynamic Databases. GrC 2010: 303-307 - [c106]Shyue-Liang Wang, Tzung-Pei Hong, Yu-Chuan Tsai, Hung-Yu Kao:
Hiding Sensitive Association Rules on Stars. GrC 2010: 505-508 - [c105]Shyue-Liang Wang, Yu-Chuan Tsai, Hung-Yu Kao, Tzung-Pei Hong:
Anonymizing Set-Valued Social Data. GreenCom/CPSCom 2010: 809-812 - [c104]Yeong-Chyi Lee, Tzung-Pei Hong, Chun-Hao Chen:
Mining Generalized Association Rules with Quantitative Data under Multiple Support Constraints. ICCCI (2) 2010: 224-231 - [c103]Min-Thai Wu, Tzung-Pei Hong, Chung-Nan Lee:
An Improved Ant Algorithm for Fuzzy Data Mining. ICCCI (2) 2010: 344-351 - [c102]Shyue-Liang Wang, Tzung-Pei Hong, Yu-Chuan Tsai, Hung-Yu Kao:
Multi-table association rules hiding. ISDA 2010: 1298-1302 - [c101]Tzung-Pei Hong, Chun-Wei Lin, Tsung-Ching Lin:
Mining complete fuzzy frequent itemsets by tree structures. SMC 2010: 563-567 - [c100]Tzung-Pei Hong, Min-Thai Wu, Yeong-Chyi Lee:
Using dynamic mutation rates in gene-set genetic algorithms. SMC 2010: 4018-4022 - 2009
- [c99]Tzung-Pei Hong, Wei-Tee Lin, Chun-Hao Chen, Chen-Sen Ouyang:
Learning Membership Functions in Takagi-Sugeno Fuzzy Systems by Genetic Algorithms. ACIIDS 2009: 301-306 - [c98]Chang-Shing Lee, Mei-Hui Wang, Tzung-Pei Hong, Guillaume Chaslot, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud, Yau-Hwang Kuo:
A novel ontology for computer go knowledge management. FUZZ-IEEE 2009: 1056-1061 - [c97]Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu:
Fuzzy data mining based on the compressed fuzzy FP-trees. FUZZ-IEEE 2009: 1068-1072 - [c96]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Speeding up genetic-fuzzy mining by fuzzy clustering. FUZZ-IEEE 2009: 1695-1699 - [c95]Tzung-Pei Hong, Po-Cheng Wang, Yeong-Chyi Lee:
Automatic attribute clustering based on genetic algorithms. GrC 2009: 214-218 - [c94]Shyue-Liang Wang, Ting-Zheng Lai, Tzung-Pei Hong, Yu-Lung Wu:
Hiding Predictive Association Rules on Horizontally Distributed Data. IEA/AIE 2009: 133-141 - [c93]Tzung-Pei Hong, Cho-Han Lee, Shyue-Liang Wang:
An Incremental Mining Algorithm for High Average-Utility Itemsets. ISPAN 2009: 421-425 - [c92]Tzung-Pei Hong, Cho-Han Lee, Shyue-Liang Wang:
Mining High Average-Utility Itemsets. SMC 2009: 2526-2530 - [c91]Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu:
Mining Up-to-Date Knowledge Based on Tree Structures. SoCPaR 2009: 123-127 - 2008
- [c90]Tzung-Pei Hong, Yan-Liang Liou:
Case-Based Reasoning with feature clustering. IEEE ICCI 2008: 449-454 - [c89]Vincent S. Tseng, Chun-Hao Chen, Pai-Chieh Huang, Tzung-Pei Hong:
A cluster-based genetic approach for segmentation of time series and pattern discovery. IEEE Congress on Evolutionary Computation 2008: 1949-1953 - [c88]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
A divide-and-conquer genetic-fuzzy mining approach for items with multiple minimum supports. FUZZ-IEEE 2008: 1231-1235 - [c87]Tzung-Pei Hong:
Some Techniques and Applications in Data Mining. GrC 2008: 34 - [c86]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, Lien-Chin Chen:
A Multi-objective Genetic-fuzzy Mining Algorithm. GrC 2008: 115-120 - [c85]Tzung-Pei Hong, Yi-Ying Wu, Shyue-Liang Wang:
Mining Up-to-date Knowledge from Log Data. GrC 2008: 286-291 - [c84]Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu, Hsin-Yi Chen:
An FUSP-Tree Maintenance Algorithm for Record Modification. ICDM Workshops 2008: 649-653 - [c83]Shyue-Liang Wang, Ting-Zheng Lai, Tzung-Pei Hong, Yu-Lung Wu:
Efficient Hiding of Collaborative Recommendation Association Rules with Updates. ICMLA 2008: 737-740 - [c82]Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu, Been-Chian Chien:
Incremental Mining with Prelarge Trees. IEA/AIE 2008: 169-178 - [c81]Jie-Hung Lee, Chiu-Ching Tuan, Tzung-Pei Hong:
A maximum channel reuse scheme with Hopfield Neural Network based static cellular radio channel allocation systems. IJCNN 2008: 3660-3667 - [c80]Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu, Wen-Yang Lin:
An Incremental FUSP-Tree Maintenance Algorithm. ISDA (1) 2008: 445-449 - [c79]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
A Cluster-Based Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports. PAKDD 2008: 864-869 - [c78]Tzung-Pei Hong, Jun-Song Dong, Wen-Yang Lin:
An integrated OWL data mining and query system. SMC 2008: 251-255 - [c77]Tzung-Pei Hong, Yan-Liang Liou, Cho-Han Lee:
Attribute clustering with unknown cluster numbers. SMC 2008: 2772-2776 - 2007
- [c76]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
A modified approach to speed up genetic-fuzzy data mining with divide-and-conquer strategy. IEEE Congress on Evolutionary Computation 2007: 1-6 - [c75]Tzung-Pei Hong, Wen-Yang Lin, Shu-Min Liu, Jiann-Horng Lin:
Experimental analysis of dynamic migration intervals on 0/1 knapsack problems. IEEE Congress on Evolutionary Computation 2007: 1163-1167 - [c74]Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu:
Using the Pre-FUFP Algorithm for Handling New Transactions in Incremental Mining. CIDM 2007: 598-603 - [c73]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
A Comparison of Different Fitness Functions for Extracting Membership Functions Used in Fuzzy Data Mining. FOCI 2007: 550-555 - [c72]Yeong-Chyi Lee, Tzung-Pei Hong, Tien-Chin Wang:
Mining Generalized Association Rules from a Different Perspective. FSKD (3) 2007: 351-355 - [c71]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, Chang-Shing Lee:
A Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports. FUZZ-IEEE 2007: 1-6 - [c70]Tzung-Pei Hong:
On Genetic-Fuzzy Data Mining Techniques. GrC 2007: 3 - [c69]Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu, Chih-Hung Wu:
Maintenance of Fast Updated Frequent Trees for Record Deletion Based on Prelarge Concepts. IEA/AIE 2007: 675-684 - [c68]Jen-Peng Huang, Guo-Cheng Lan, Huang-Cheng Kuo, Tzung-Pei Hong:
A Decomposition Approach for Mining Frequent Itemsets. IIH-MSP 2007: 605-608 - [c67]Chan-Sheng Kuo, Tzung-Pei Hong, Chuen-Lung Chen:
Integrating Multiple Knowledge Sources by Genetic Programming. IIH-MSP 2007: 609-612 - [c66]Tzung-Pei Hong, Min-Thai Wu, Ya-Fang Tung, Shyue-Liang Wang:
Using escape operations in gene-set genetic algorithms. SMC 2007: 3907-3911 - [c65]Tzung-Pei Hong, Guo-Neng Shiu:
Allocating Multiple Base Stations under General Power Consumption by the Particle Swarm Optimization. SIS 2007: 23-28 - 2006
- [c64]Chun-Hao Chen, Tzung-Pei Hong, Vincent Shin-Mu Tseng:
A Less Domain-dependent Fuzzy Mining Algorithm for Frequent Trends. FUZZ-IEEE 2006: 851-856 - [c63]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
A Cluster-Based Fuzzy-Genetic Mining Approach for Association Rules and Membership Functions. FUZZ-IEEE 2006: 1411-1416 - [c62]Cheng-Ming Huang, Tzung-Pei Hong, Shi-Jinn Horng:
Simultaneously mining inter- and intra-object association rules. GrC 2006: 679-682 - [c61]Chien-Lung Wang, Gwoboa Horng, Yu-Sheng Chen, Tzung-Pei Hong:
An Efficient Key-Update Scheme for Wireless Sensor Networks. International Conference on Computational Science (1) 2006: 1026-1029 - [c60]Vincent S. Tseng, Chun-Hao Chen, Chien-Hsiang Chen, Tzung-Pei Hong:
Segmentation of Time Series by the Clustering and Genetic Algorithms. ICDM Workshops 2006: 443-447 - [c59]Tzung-Pei Hong, Jerry Jun-Wei Lin, Yu-Lung Wu:
Maintenance of Fast Updated Frequent Pattern Trees for Record Modification. ICICIC (1) 2006: 570-573 - [c58]Yeong-Chyi Lee, Tzung-Pei Hong, Tien-Chin Wang:
Mining Multiple-Level Association Rules Under the Maximum Constraint of Multiple Minimum Supports. IEA/AIE 2006: 1329-1338 - [c57]Tzung-Pei Hong, Yan-Liang Liou, Shyue-Liang Wang:
Learning with Hierarchical Quantitative Attributes by Fuzzy Rough Sets. JCIS 2006 - [c56]Tzung-Pei Hong, Ming-Wen Tsai, Tung-Kuan Liu:
Two-dimentional Encoding Schema and Genetic Operators. JCIS 2006 - [c55]Chien-Lung Wang, Tzung-Pei Hong, Gwoboa Horng, Wen-Hung Wang:
A Key Renewal Scheme under the Power Consumption for Wireless Sensor Networks. JCIS 2006 - [c54]Ching-Yao Wang, Shian-Shyong Tseng, Tzung-Pei Hong:
Improved Negative-Border Online Mining Approaches. PAKDD 2006: 483-492 - [c53]Wei-Shuo Lo, Tzung-Pei Hong, Rong Jeng, Jian-Ping Liu:
Intelligent Agents in Supply Chain Management as an Early Warning Mechanism. SMC 2006: 2161-2166 - [c52]Tzung-Pei Hong, Jerry Jun-Wei Lin, Yu-Lung Wu:
A Fast Updated Frequent Pattern Tree. SMC 2006: 2167-2172 - [c51]Cheng-Ming Huang, Tzung-Pei Hong, Shi-Jinn Horng:
Simultaneously Mining Fuzzy Inter- and Intra-Object Association Rules. SMC 2006: 2778-2783 - [c50]Pei-Ying Huang, Tzung-Pei Hong, Cheng-Yan Kao:
Combining Single-pass and Multiple-pass Heuristics for Group Flexible Flow-shop Scheduling Problems. SMC 2006: 3901-3906 - [c49]Yeong-Chyi Lee, Tzung-Pei Hong, Tien-Chin Wang:
Mining Fuzzy Multiple-level Association Rules under Multiple Minimum Supports. SMC 2006: 4112-4117 - 2005
- [c48]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Analyzing time-series data by fuzzy data-mining technique. GrC 2005: 112-117 - [c47]Tzung-Pei Hong, Wen-Chang Chang, Jiann-Horng Lin:
A Two-Phased Ontology Selection Approach for Semantic Web. KES (4) 2005: 403-409 - [c46]Tzung-Pei Hong, Cheng-Ming Huang, Shi-Jinn Horng:
Mining Linguistic Mobility Patterns for Wireless Networks. KES (3) 2005: 1352-1358 - [c45]Shyue-Liang Wang, Kuan-Wei Huang, Tien-Chin Wang, Tzung-Pei Hong:
Maintenance of discovered informative rule sets: incremental deletion. SMC 2005: 170-175 - [c44]Tzung-Pei Hong, Yeong-Chyi Lee, Min-Thai Wu:
Using the master-slave parallel architecture for genetic-fuzzy data mining. SMC 2005: 3232-3237 - 2004
- [c43]Ching-Yao Wang, Shian-Shyong Tseng, Tzung-Pei Hong, Yianshu Chu:
A Three-phased Online Association Rule Mining Approach for Diverse Mining Requests. ICEB 2004: 1085-1090 - [c42]Tzung-Pei Hong, Chun-Hao Chen, Yu-Lung Wu, Yeong-Chyi Lee:
Using divide-and-conquer GA strategy in fuzzy data mining. ISCC 2004: 116-121 - [c41]Yeong-Chyi Lee, Tzung-Pei Hong, Wen-Yang Lin:
Mining Fuzzy Association Rules with Multiple Minimum Supports Using Maximum Constraints. KES 2004: 1283-1290 - [c40]Tzung-Pei Hong, Tzu-Jung Huang, Chao-Sheng Chang:
Maintenance of multiple-level association rules for record modification. SMC (4) 2004: 3140-3145 - [c39]Tzung-Pei Hong, Li-Huei Tseng, Been-Chian Chien:
Learning coverage rules from incomplete data based on rough sets. SMC (4) 2004: 3226-3231 - [c38]Shyue-Liang Wang, Mei-Hwa Wang, Wen-Yang Lin, Tzung-Pei Hong:
Adjustable discovery of adaptive-support association rules for collaborative recommendation systems. SMC (4) 2004: 3250-3254 - [c37]Wen-Yang Lin, Tzung-Pei Hong, Shu-Min Liu:
On adapting migration parameters for multi-population genetic algorithms. SMC (6) 2004: 5731-5735 - 2003
- [c36]Shyue-Liang Wang, Mei-Hwa Wang, Wen-Yang Lin, Tzung-Pei Hong:
Efficient generation of Adaptive-Support Association Rules. SMC 2003: 894-899 - [c35]Shyue-Liang Wang, Kuan-Wei Huang, Tien-Chin Wang, Tzung-Pei Hong:
Maintenance of discovered informative rule sets: incremental insertion. SMC 2003: 2394-2399 - [c34]Tzung-Pei Hong, Chun-E Lin, Jiann-Horng Lin, Shyue-Liang Wang:
Learning a coverage set of multiple-level certain and possible rules by rough sets. SMC 2003: 2605-2610 - [c33]Wei-Shuo Lo, Tzung-Pei Hong, Shyue-Liang Wang:
A top-down fuzzy cross-level Web-mining approach. SMC 2003: 2684-2689 - 2002
- [c32]Shyue-Liang Wang, Wei-Shuo Lo, Tzung-Pei Hong:
Discovery of Fuzzy Multiple-Level Web Browsing Patterns. FSKD 2002: 636-640 - [c31]Tzung-Pei Hong, Ming-Jer Chiang, Shyue-Liang Wang:
Mining from quantitative data with linguistic minimum supports and confidences. FUZZ-IEEE 2002: 494-499 - [c30]Tzung-Pei Hong, Li-Huei Tseng, Been-Chian Chien:
Learning fuzzy rules from incomplete quantitative data by rough sets. FUZZ-IEEE 2002: 1438-1443 - [c29]Ching-Yao Wang, Tzung-Pei Hong, Shian-Shyong Tseng:
Maintenance of Sequential Patterns for Record Modification Using Pre-large Sequences. ICDM 2002: 693-696 - [c28]Jung-Yi Lin, Been-Chian Chien, Tzung-Pei Hong:
A Function-Based Classifier Learning Scheme Using Genetic Programming. PAKDD 2002: 92-103 - [c27]Shyue-Liang Wang, Chun-Yin Kuo, Tzung-Pei Hong:
Mining fuzzy similar sequential patterns from quantitative data. SMC (2) 2002: 5 - [c26]Wen-Yang Lin, Wen-Yuan Lee, Tzung-Pei Hong:
On self-adaptive multi-population genetic algorithms. SMC 2002: 6 - 2001
- [c25]Tzung-Pei Hong, Tzu-Ting Wang, Been-Chian Chien:
Learning Approximate Fuzzy Rules From Training Examples. FUZZ-IEEE 2001: 256-259 - [c24]Tzung-Pei Hong, Chan-Sheng Kuo, Shyue-Liang Wang:
A Fuzzy AprioriTid Algorithm With Reduced Computational Time. FUZZ-IEEE 2001: 360-363 - [c23]Tzung-Pei Hong, Yeong-Chyi Lee:
Mining Coverage-Based Fuzzy Rules by Evolutional Computation. ICDM 2001: 218-224 - [c22]Ching-Yao Wang, Tzung-Pei Hong, Shian-Shyong Tseng:
Maintenance of Sequential Patterns for Record Deletion. ICDM 2001: 536-541 - 2000
- [c21]Tzung-Pei Hong, Tzu-Ting Wang, Shyue-Liang Wang:
Palmer-based flexible flow-shop scheduling for continuous fuzzy domains. FUZZ-IEEE 2000: 363-368 - [c20]Shyue-Liang Wang, Tzung-Pei Hong:
Mining approximate dependency to answer null queries on similarity-based fuzzy relational databases. FUZZ-IEEE 2000: 615-620 - [c19]Tzung-Pei Hong, Ching-Yao Wang, Yu-Hui Tao:
Incremental data mining based on two support thresholds. KES 2000: 436-439 - [c18]Shyue-Liang Wang, Jenn-Shing Tsai, Tzung-Pei Hong:
Mining Functional Dependencies from Fuzzy Relational Databases. SAC (1) 2000: 490-493 - [c17]Tzung-Pei Hong, Chan-Sheng Kuo, Sheng-Chai Chi, Shyue-Liang Wang:
Mining Fuzzy Rules from Quantitative Data Based on the AprioriTid Algorithm. SAC (1) 2000: 534-536 - [c16]Tzung-Pei Hong, Chan-Lon Wang, Shyue-Liang Wang:
A heuristic Gupta-based flexible flow-shop scheduling algorithm. SMC 2000: 319-322 - [c15]Shyue-Liang Wang, Ju-Wen Shen, Tzung-Pei Hong:
Mining fuzzy functional dependencies from quantitative data. SMC 2000: 3600-3605 - [c14]Tzung-Pei Hong, Ke-Yuan Huang, Wen-Yang Lin:
A genetic search method for multi-player game playing. SMC 2000: 3858-3861 - 1999
- [c13]Tzung-Pei Hong, Tzu-Ting Wang:
A New Fuzzy Flexible Flow-Shop Algorithm for Continous Fuzzy Domain. IEA/AIE 1999: 74-79 - [c12]Tzung-Pei Hong, Chan-Sheng Kuo, Sheng-Chai Chi:
A fuzzy data mining algorithm for quantitative values. KES 1999: 480-483 - [c11]Wei-Chou Chen, Tzung-Pei Hong, Wen-Yang Lin:
A Composite Data Model in Object-Oriented Data Warehousing. TOOLS (31) 1999: 400-405 - 1998
- [c10]Tzung-Pei Hong, Chai-Ying Lee:
Learning Fuzzy Knowledge from Training Examples. CIKM 1998: 161-166 - [c9]Tzung-Pei Hong, Jyh-Jong Lee:
Parallel Neural Learning by Iteratively Adjusting Error Thresholds. ICPADS 1998: 107- - [c8]Tzung-Pei Hong, Jyh-Bin Chen:
Building a hierarchical representation of membership functions. ICTAI 1998: 236-241 - [c7]Ching-Hung Wang, Tzung-Pei Hong, Shian-Shyong Tseng:
Genetic-fuzzy knowledge-integration strategies. ICTAI 1998: 250-255 - [c6]Ching-Hung Wang, Ming-Bao Chang, Tzung-Pei Hong, Shian-Shyong Tseng:
Integrating multiple rule sets by genetic algorithms. SMC 1998: 1524-1529 - 1996
- [c5]Tzung-Pei Hong, Jyh-Jong Lee:
Speed up the back-propagation learning algorithm by the broadcast communication model. ICNN 1996: 1340-1344 - [c4]Tzung-Pei Hong, Tzung-Nan Chuang:
Fuzzy Johnson's Algorithm for Two-machine Flow Shop. IEA/AIE 1996: 201-206 - 1992
- [c3]Tzung-Pei Hong, Shian-Shyong Tseng:
Comparison of ID3 and Its Generalized Version. ICCI 1992: 241-244 - 1991
- [c2]Tzung-Pei Hong, Shian-Shyong Tseng:
Models of parallel learning systems. ICDCS 1991: 125-132 - [c1]Tzung-Pei Hong, Shian-Shyong Tseng:
A Parallel Perceptron Learning Algorithm. ICPP (3) 1991: 288-289
Parts in Books or Collections
- 2013
- [p7]Thien-Phuong Le, Bay Vo, Tzung-Pei Hong, Bac Le, Jason J. Jung:
Maintenance of IT-Tree for Transactions Deletion. Advanced Methods for Computational Collective Intelligence 2013: 157-166 - 2008
- [p6]Shyue-Liang Wang, Ju-Wen Shen, Tzung-Pei Hong:
Incremental Discovery of Fuzzy Functional Dependencies. Handbook of Research on Fuzzy Information Processing in Databases 2008: 615-633 - [p5]Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Mining Linguistic Trends from Time Series. Data Mining: Foundations and Practice 2008: 49-60 - [p4]Tzung-Pei Hong, Chun-Hao Chen, Yu-Lung Wu, Vincent S. Tseng:
Fining Active Membership Functions in Fuzzy Data Mining. Data Mining: Foundations and Practice 2008: 179-196 - [p3]Tzung-Pei Hong, Yeong-Chyi Lee:
An Overview of Mining Fuzzy Association Rules. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 397-410 - 2006
- [p2]Ching-Yao Wang, Tzung-Pei Hong, Shian-Shyong Tseng:
Multidimensional On-line Mining. Foundations and Novel Approaches in Data Mining 2006: 243-257 - 2005
- [p1]Shyue-Liang Wang, Wei-Shuo Lo, Tzung-Pei Hong:
Discovery of Fuzzy Multiple-Level Web Browsing Patterns. Classification and Clustering for Knowledge Discovery 2005: 251-266
Editorship
- 2023
- [e15]Ngoc Thanh Nguyen, Siridech Boonsang, Hamido Fujita, Bogumila Hnatkowska, Tzung-Pei Hong, Kitsuchart Pasupa, Ali Selamat:
Intelligent Information and Database Systems - 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24-26, 2023, Proceedings, Part I. Lecture Notes in Computer Science 13995, Springer 2023, ISBN 978-981-99-5833-7 [contents] - [e14]Ngoc Thanh Nguyen, Siridech Boonsang, Hamido Fujita, Bogumila Hnatkowska, Tzung-Pei Hong, Kitsuchart Pasupa, Ali Selamat:
Intelligent Information and Database Systems - 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24-26, 2023, Proceedings, Part II. Lecture Notes in Computer Science 13996, Springer 2023, ISBN 978-981-99-5836-8 [contents] - 2022
- [e13]Ngoc Thanh Nguyen, Tien Khoa Tran, Ualsher Tukeyev, Tzung-Pei Hong, Bogdan Trawinski, Edward Szczerbicki:
Intelligent Information and Database Systems - 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13757, Springer 2022, ISBN 978-3-031-21742-5 [contents] - [e12]Ngoc Thanh Nguyen, Tien Khoa Tran, Ualsher Tukeyev, Tzung-Pei Hong, Bogdan Trawinski, Edward Szczerbicki:
Intelligent Information and Database Systems - 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13758, Springer 2022, ISBN 978-3-031-21966-5 [contents] - [e11]Ajith Abraham, Niketa Gandhi, Thomas Hanne, Tzung-Pei Hong, Tatiane Nogueira Rios, Weiping Ding:
Intelligent Systems Design and Applications - 21st International Conference on Intelligent Systems Design and Applications (ISDA 2021) Held During December 13-15, 2021. Lecture Notes in Networks and Systems 418, Springer 2022, ISBN 978-3-030-96307-1 [contents] - 2021
- [e10]Tzung-Pei Hong, Krystian Wojtkiewicz, Rathachai Chawuthai, Pawel Sitek:
Recent Challenges in Intelligent Information and Database Systems - 13th Asian Conference, ACIIDS 2021, Phuket, Thailand, April 7-10, 2021, Proceedings. Communications in Computer and Information Science 1371, Springer 2021, ISBN 978-981-16-1684-6 [contents] - [e9]Ajith Abraham, Thomas Hanne, Oscar Castillo, Niketa Gandhi, Tatiane Nogueira Rios, Tzung-Pei Hong:
Hybrid Intelligent Systems - 20th International Conference on Hybrid Intelligent Systems (HIS 2020), Virtual Event, India, December 14-16, 2020. Advances in Intelligent Systems and Computing 1375, Springer 2021, ISBN 978-3-030-73049-9 [contents] - 2019
- [e8]Ngoc Thanh Nguyen, Ford Lumban Gaol, Tzung-Pei Hong, Bogdan Trawinski:
Intelligent Information and Database Systems - 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, April 8-11, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11431, Springer 2019, ISBN 978-3-030-14798-3 [contents] - [e7]Ngoc Thanh Nguyen, Ford Lumban Gaol, Tzung-Pei Hong, Bogdan Trawinski:
Intelligent Information and Database Systems - 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, April 8-11, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11432, Springer 2019, ISBN 978-3-030-14801-0 [contents] - 2018
- [e6]Ngoc Thanh Nguyen, Duong Hung Hoang, Tzung-Pei Hong, Hoang Pham, Bogdan Trawinski:
Intelligent Information and Database Systems - 10th Asian Conference, ACIIDS 2018, Dong Hoi City, Vietnam, March 19-21, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10751, Springer 2018, ISBN 978-3-319-75416-1 [contents] - [e5]Ngoc Thanh Nguyen, Duong Hung Hoang, Tzung-Pei Hong, Hoang Pham, Bogdan Trawinski:
Intelligent Information and Database Systems - 10th Asian Conference, ACIIDS 2018, Dong Hoi City, Vietnam, March 19-21, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10752, Springer 2018, ISBN 978-3-319-75419-2 [contents] - 2016
- [e4]Ngoc Thanh Nguyen, Bogdan Trawinski, Hamido Fujita, Tzung-Pei Hong:
Intelligent Information and Database Systems - 8th Asian Conference, ACIIDS 2016, Da Nang, Vietnam, March 14-16, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9621, Springer 2016, ISBN 978-3-662-49380-9 [contents] - [e3]Ngoc Thanh Nguyen, Bogdan Trawinski, Hamido Fujita, Tzung-Pei Hong:
Intelligent Information and Database Systems - 8th Asian Conference, ACIIDS 2016, Da Nang, Vietnam, March 14-16, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9622, Springer 2016, ISBN 978-3-662-49389-2 [contents] - 2011
- [e2]Tzung-Pei Hong, Yasuo Kudo, Mineichi Kudo, Tsau Young Lin, Been-Chian Chien, Shyue-Liang Wang, Masahiro Inuiguchi, Guilong Liu:
2011 IEEE International Conference on Granular Computing, GrC-2011, Kaohsiung, Taiwan, November 8-10, 2011. IEEE Computer Society 2011, ISBN 978-1-4577-0372-0 [contents] - 2009
- [e1]Been-Chian Chien, Tzung-Pei Hong, Shyi-Ming Chen, Moonis Ali:
Next-Generation Applied Intelligence, 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Tainan, Taiwan, June 24-27, 2009. Proceedings. Lecture Notes in Computer Science 5579, Springer 2009, ISBN 978-3-642-02567-9 [contents]
Reference Works
- 2009
- [r1]Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng:
Genetic-Fuzzy Data Mining Techniques. Encyclopedia of Complexity and Systems Science 2009: 4145-4160
Coauthor Index
[j270] [j267] [j265] [j253] [j246] [j245] [j242] [j237] [j203] [j196] [j183] [j173] [j140] [j134] [j133] [j131] [j126] [j113] [j108] [j92] [j88] [j85] [j84] [j73] [j72] [j61] [c277] [c275] [c269] [c268] [c266] [c258] [c249] [c246] [c244] [c241] [c240] [c239] [c237] [c232] [c231] [c228] [c223] [c218] [c216] [c213] [c206] [c204] [c198] [c187] [c184] [c183] [c180] [c177] [c176] [c158] [c147] [c146] [c143] [c131] [c125] [c120] [c111] [c109] [c108] [c104] [c99] [c96] [c89] [c88] [c86] [c79] [c76] [c73] [c71] [c64] [c63] [c60] [c48] [c42] [p5] [p4] [r1]
[j244] [j241] [j238] [j233] [j231] [j229] [j228] [j227] [j225] [j222] [j221] [j220] [j218] [j216] [j211] [j209] [j208] [j207] [j205] [j202] [j201] [j197] [j193] [j192] [j178] [j169] [c247] [c243] [c224] [c220] [c217] [c215] [c212] [c211] [c210] [c209] [c208] [c207] [c205] [c203] [c201] [c199] [c195] [c193] [c190] [c188]
Bac Le
aka: Hoai Bac Le
aka: Hoai Bac Le
Chun-Wei Lin
aka: Jerry Chun-Wei Lin
aka: Jerry Chun-Wei Lin
[j264] [j263] [j251] [j248] [j245] [j244] [j243] [j242] [j241] [j238] [j233] [j231] [j230] [j229] [j228] [j227] [j225] [j222] [j221] [j220] [j218] [j216] [j211] [j209] [j208] [j207] [j206] [j205] [j202] [j201] [j199] [j198] [j197] [j193] [j192] [j190] [j188] [j187] [j186] [j185] [j184] [j178] [j176] [j175] [j174] [j172] [j170] [j169] [j168] [j167] [j166] [j161] [j158] [j154] [j151] [j148] [j143] [j137] [j136] [j132] [j130] [j129] [j116] [j114] [j103] [j100] [j98] [j95] [j90] [j78] [c265] [c256] [c255] [c254] [c253] [c248] [c247] [c245] [c243] [c241] [c239] [c236] [c235] [c233] [c231] [c227] [c225] [c224] [c222] [c221] [c220] [c219] [c217] [c215] [c212] [c211] [c210] [c209] [c208] [c207] [c205] [c203] [c201] [c199] [c195] [c193] [c192] [c190] [c188] [c186] [c182] [c179] [c178] [c174] [c173] [c171] [c168] [c159] [c157] [c154] [c148] [c145] [c139] [c126] [c123] [c118] [c117] [c115] [c114] [c110] [c107] [c101] [c97] [c91] [c84] [c82] [c80] [c74] [c69]
Vincent S. Tseng
aka: Vincent Shin-Mu Tseng
aka: Vincent Shin-Mu Tseng
[j216] [j208] [j205] [j196] [j193] [j186] [j173] [j156] [j155] [j146] [j133] [j131] [j126] [j125] [j122] [j119] [j108] [j92] [j88] [j85] [j84] [j72] [c205] [c201] [c195] [c192] [c142] [c128] [c113] [c111] [c109] [c108] [c96] [c89] [c88] [c86] [c79] [c76] [c73] [c71] [c64] [c63] [c60] [c48] [p5] [p4] [r1]
[j261] [j257] [j256] [j255] [j254] [j250] [j249] [j248] [j240] [j232] [j228] [j204] [j200] [j195] [j191] [j179] [j177] [j171] [j164] [j162] [j159] [j144] [j142] [j135] [j128] [j127] [c242] [c227] [c222] [c185] [c181] [c160] [c154] [c153] [c149] [c141] [c139] [c138] [c136] [c135] [c133] [c130] [c122] [p7]
[j260] [j251] [j247] [j224] [j223] [j219] [j213] [j212] [j201] [j194] [j185] [j182] [j181] [j163] [j155] [j149] [j144] [j143] [j139] [j138] [j137] [j124] [j115] [j110] [j101] [j94] [j91] [j89] [j86] [j80] [j76] [j71] [j70] [j68] [j62] [j59] [j57] [j54] [j51] [j46] [j43] [j41] [j40] [j37] [j32] [j31] [j30] [c263] [c257] [c256] [c255] [c248] [c238] [c235] [c234] [c233] [c227] [c226] [c221] [c219] [c206] [c202] [c189] [c188] [c180] [c169] [c167] [c165] [c155] [c152] [c151] [c145] [c142] [c137] [c134] [c132] [c127] [c123] [c121] [c119] [c118] [c117] [c115] [c106] [c105] [c102] [c94] [c93] [c92] [c85] [c83] [c66] [c57] [c45] [c38] [c36] [c35] [c34] [c33] [c32] [c31] [c27] [c24] [c21] [c20] [c18] [c17] [c16] [c15] [p6] [p1] [e2]
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