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2020 – today
- 2021
[j100]Tram Nguyen, Loan T. T. Nguyen
, Toan Bui, Ho Dac Loc, Witold Pedrycz, Václav Snásel, Bay Vo:
Multi-Swarm Optimization for Extracting Multiple-Choice Tests From Question Banks. IEEE Access 9: 32131-32148 (2021)- [j99]Huong Bui, Tu-Anh Nguyen-Hoang, Bay Vo, Ham Nguyen, Tuong Le:
A Sliding Window-Based Approach for Mining Frequent Weighted Patterns Over Data Streams. IEEE Access 9: 56318-56329 (2021) - [j98]Mehdi Hosseinzadeh, Bay Vo, Marwan Yassin Ghafour, Sajjad Naghipour:
Electrocardiogram signals-based user authentication systems using soft computing techniques. Artif. Intell. Rev. 54(1): 667-709 (2021) - [j97]Huong Bui, Bay Vo, Tu-Anh Nguyen-Hoang, Unil Yun:
Mining frequent weighted closed itemsets using the WN-list structure and an early pruning strategy. Appl. Intell. 51(3): 1439-1459 (2021) - [j96]Heonho Kim, Unil Yun, Yoonji Baek, Jongseong Kim, Bay Vo, Eunchul Yoon, Hamido Fujita:
Efficient list based mining of high average utility patterns with maximum average pruning strategies. Inf. Sci. 543: 85-105 (2021) - [j95]Yoonji Baek, Unil Yun, Heonho Kim, Jongseong Kim, Bay Vo, Tin C. Truong, Zhi-Hong Deng:
Approximate high utility itemset mining in noisy environments. Knowl. Based Syst. 212: 106596 (2021) - [j94]Mehdi Hosseinzadeh, Amir Masoud Rahmani, Bay Vo, Moazam Bidaki, Mohammad Masdari, Mehran Zangakani:
Improving security using SVM-based anomaly detection: issues and challenges. Soft Comput. 25(4): 3195-3223 (2021) - [j93]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) - [j92]Yoonji Baek, Unil Yun, Heonho Kim, Hyoju Nam, Hyunsoo Kim, Jerry Chun-Wei Lin, Bay Vo, Witold Pedrycz:
RHUPS: Mining Recent High Utility Patterns with Sliding Window-based Arrival Time Control over Data Streams. ACM Trans. Intell. Syst. Technol. 12(2): 16:1-16:27 (2021) - [j91]Mehdi Hosseinzadeh, Omed Hassan Ahmed, Marwan Yassin Ghafour, Fatemeh Safara, Hawkar Kamaran Hama, Saqib Ali, Bay Vo, Hsiu-Sen Chiang:
A multiple multilayer perceptron neural network with an adaptive learning algorithm for thyroid disease diagnosis in the internet of medical things. J. Supercomput. 77(4): 3616-3637 (2021) - [c53]Trinh D. D. Nguyen, Loan T. T. Nguyen, Adrianna Kozierkiewicz, Thiet Pham, Bay Vo:
An Efficient Approach for Mining High-Utility Itemsets from Multiple Abstraction Levels. ACIIDS 2021: 92-103 - 2020
- [j90]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) - [j89]Hyoju Nam, Unil Yun, Bay Vo, Tin C. Truong, Zhi-Hong Deng, Eunchul Yoon:
Efficient Approach for Damped Window-Based High Utility Pattern Mining With List Structure. IEEE Access 8: 50958-50968 (2020) - [j88]Bay Vo, Loan T. T. Nguyen, Trinh D. D. Nguyen, Philippe Fournier-Viger, Unil Yun:
A Multi-Core Approach to Efficiently Mining High-Utility Itemsets in Dynamic Profit Databases. IEEE Access 8: 85890-85899 (2020) - [j87]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) - [j86]Thanh-Ngo Nguyen, Loan T. T. Nguyen, Bay Vo, Ngoc Thanh Nguyen, Trinh D. D. Nguyen:
An N-List-Based Approach for Mining Frequent Inter-Transaction Patterns. IEEE Access 8: 116840-116855 (2020) - [j85]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) - [j84]Tuong Le, Bay Vo, Van-Nam Huynh, Ngoc Thanh Nguyen, Sung Wook Baik:
Mining top-k frequent patterns from uncertain databases. Appl. Intell. 50(5): 1487-1497 (2020) - [j83]Loan T. T. Nguyen, Dinh-Bao Vu, Trinh D. D. Nguyen, Bay Vo:
Mining Maximal High Utility Itemsets on Dynamic Profit Databases. Cybern. Syst. 51(2): 140-160 (2020) - [j82]Lam B. Q. Nguyen, Bay Vo, Ngoc-Thao Le, Václav Snásel, Ivan Zelinka:
Fast and scalable algorithms for mining subgraphs in a single large graph. Eng. Appl. Artif. Intell. 90: 103539 (2020) - [j81]Yoonji Baek, Unil Yun, Heonho Kim, Hyoju Nam, Gangin Lee, Eunchul Yoon, Bay Vo, Jerry Chun-Wei Lin:
Erasable pattern mining based on tree structures with damped window over data streams. Eng. Appl. Artif. Intell. 94: 103735 (2020) - [j80]Huy M. Huynh, Loan T. T. Nguyen, Bay Vo, Anh Nguyen, Vincent S. Tseng:
Efficient methods for mining weighted clickstream patterns. Expert Syst. Appl. 142 (2020) - [j79]Dang Nguyen, Wei Luo, Bay Vo, Witold Pedrycz:
Succinct contrast sets via false positive controlling with an application in clinical process redesign. Expert Syst. Appl. 161: 113670 (2020) - [j78]Unil Yun, Hyoju Nam, Jongseong Kim, Heonho Kim, Yoonji Baek, Judae Lee, Eunchul Yoon, Tin C. Truong, Bay Vo, Witold Pedrycz:
Efficient transaction deleting approach of pre-large based high utility pattern mining in dynamic databases. Future Gener. Comput. Syst. 103: 58-78 (2020) - [j77]Huy M. 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) - [j76]Mehdi Hosseinzadeh, Marwan Yassin Ghafour, Hawkar Kamaran Hama, Bay Vo, Afsane Khoshnevis:
Multi-Objective Task and Workflow Scheduling Approaches in Cloud Computing: a Comprehensive Review. J. Grid Comput. 18(3): 327-356 (2020) - [j75]Phuoc Tran, Van-Deo Duong, Dien Dinh, Bay Vo, Huu Nguyen, Long H. B. Nguyen:
Projecting dependency syntax labels from English into Vietnamese in English-Vietnamese bilingual corpus. Int. J. Intell. Inf. Database Syst. 13(1): 17-32 (2020) - [j74]Ngoc-Thao Le, Bay Vo, Lam B. Q. Nguyen, Hamido Fujita, Bac Le:
Mining weighted subgraphs in a single large graph. Inf. Sci. 514: 149-165 (2020) - [j73]Quang-Thinh Bui, Bay Vo, Hoang-Anh Nguyen Do, Nguyen Quoc Viet Hung, Václav Snásel:
F-Mapper: A Fuzzy Mapper clustering algorithm. Knowl. Based Syst. 189 (2020) - [j72]Bay Vo, Huong Bui, Thanh Vo, Tuong Le:
Mining top-rank-k frequent weighted itemsets using WN-list structures and an early pruning strategy. Knowl. Based Syst. 201-202: 106064 (2020) - [j71]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) - [j70]Toan Bui, Tram Nguyen, Huy M. 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) - [c52]Nguyen Thi Thuy Loan, Trinh D. D. Nguyen, Anh Nguyen, Phuoc-Nghia Tran, Cuong Trinh, Bao Huynh, Bay Vo:
Efficient Method for Mining High-Utility Itemsets Using High-Average Utility Measure. ICCCI 2020: 305-315 - [c51]Thanh-Ngo Nguyen, Nguyen Thi Thuy Loan, Bay Vo, Adrianna Kozierkiewicz:
Efficient Method for Mining Maximal Inter-transaction Patterns. ICCCI 2020: 316-327 - [c50]Huy M. Huynh, Nam Ngoc Pham, Zuzana Komínková Oplatková, Nguyen Thi Thuy Loan, Bay Vo:
Sequential Pattern Mining Using IDLists. ICCCI 2020: 341-353 - [c49]Thanh-Ngo Nguyen, Loan T. T. Nguyen, Bay Vo, Ngoc Thanh Nguyen:
A Fast Algorithm for Mining Closed Inter-transaction Patterns. IEA/AIE 2020: 820-831
2010 – 2019
- 2019
- [j69]Tuong Le, Bay Vo, Philippe Fournier-Viger, Mi Young Lee, Sung Wook Baik:
SPPC: a new tree structure for mining erasable patterns in data streams. Appl. Intell. 49(2): 478-495 (2019) - [j68]Tuong Le, Minh Thanh Vo, Bay Vo, Mi Young Lee, Sung Wook Baik:
A Hybrid Approach Using Oversampling Technique and Cost-Sensitive Learning for Bankruptcy Prediction. Complex. 2019: 8460934:1-8460934:12 (2019) - [j67]Tuong Le, Bay Vo, Hamido Fujita, Ngoc Thanh Nguyen, Sung Wook Baik:
A fast and accurate approach for bankruptcy forecasting using squared logistics loss with GPU-based extreme gradient boosting. Inf. Sci. 494: 294-310 (2019) - [j66]Loan T. T. Nguyen, Vinh V. Vu, Mi T. H. Lam, Thuy T. M. Duong, Ly T. Manh, Thuy T. T. Nguyen, Bay Vo, Hamido Fujita:
An efficient method for mining high utility closed itemsets. Inf. Sci. 495: 78-99 (2019) - [j65]Loan T. T. Nguyen, Bay Vo, Thanh-Ngo Nguyen, Anh Nguyen:
Mining class association rules on imbalanced class datasets. J. Intell. Fuzzy Syst. 37(6): 7131-7139 (2019) - [j64]Loan T. T. Nguyen, Phuc Nguyen, Trinh D. D. Nguyen, Bay Vo, Philippe Fournier-Viger, Vincent S. Tseng:
Mining high-utility itemsets in dynamic profit databases. Knowl. Based Syst. 175: 130-144 (2019) - [j63]Tram Nguyen, Toan Bui, Bay Vo:
Multi-Swarm Single-Objective Particle Swarm Optimization to Extract Multiple-Choice Tests. Vietnam. J. Comput. Sci. 6(2): 147-161 (2019) - [c48]Huy M. Huynh, Loan T. T. Nguyen, Bay Vo, Zuzana Komínková Oplatková, Tzung-Pei Hong:
Mining Clickstream Patterns Using IDLists. SMC 2019: 2007-2012 - [c47]Thanh-Ngo Nguyen, Loan T. T. Nguyen, Bay Vo, Ngoc Thanh Nguyen:
An Efficient Algorithm for Mining Frequent Closed Inter- Transaction Patterns. SMC 2019: 2019-2024 - 2018
- [j62]Linh T. T. Nguyen, Bay Vo, Loan T. T. Nguyen, Philippe Fournier-Viger, Ali Selamat:
ETARM: an efficient top-k association rule mining algorithm. Appl. Intell. 48(5): 1148-1160 (2018) - [j61]Tuong Le, Anh Nguyen, Bao Huynh, Bay Vo, Witold Pedrycz:
Mining constrained inter-sequence patterns: a novel approach to cope with item constraints. Appl. Intell. 48(5): 1327-1343 (2018) - [j60]Loan T. T. Nguyen, Ngoc Thanh Nguyen, Bay Vo, Hung Son Nguyen:
Efficient method for updating class association rules in dynamic datasets with record deletion. Appl. Intell. 48(6): 1491-1505 (2018) - [j59]Bao Huynh, Bay Vo:
An Efficient Method for Mining Erasable Itemsets Using Multicore Processor Platform. Complex. 2018: 8487641:1-8487641:9 (2018) - [j58]Tuong Le, Bay Vo, Sung Wook Baik:
Efficient algorithms for mining top-rank-k erasable patterns using pruning strategies and the subsume concept. Eng. Appl. Artif. Intell. 68: 1-9 (2018) - [j57]Bao Huynh, Cuong Trinh, Huy M. Huynh, Thien-Trang Van, Bay Vo, Václav Snásel:
An efficient approach for mining sequential patterns using multiple threads on very large databases. Eng. Appl. Artif. Intell. 74: 242-251 (2018) - [j56]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) - [j55]Toan Bui, Tram Nguyen, Bay Vo, Thanh Nguyen, Witold Pedrycz, Václav Snásel:
Application of Particle Swarm Optimization to Create Multiple-Choice Tests. J. Inf. Sci. Eng. 34(6): 1405-1423 (2018) - [j54]Thien-Trang Van, Bay Vo, Bac Le:
Mining sequential patterns with itemset constraints. Knowl. Inf. Syst. 57(2): 311-330 (2018) - [j53]The Hai Pham, Jesper Kristensen, Son T. Mai, Ira Assent, Jon Jacobsen, Bay Vo, Anh Le:
Interactive Exploration of Subspace Clusters on Multicore Processors. Trans. Large Scale Data Knowl. Centered Syst. 39: 169-199 (2018) - [c46]Loan T. T. Nguyen, Bay Vo, Thang Mai, Thanh-Long Nguyen:
A Weighted Approach for Class Association Rules. ACIIDS (Extended Posters) 2018: 213-222 - [c45]Bang V. Bui, Bay Vo, Huy M. Huynh, Tu-Anh Nguyen-Hoang, Bao Huynh:
An Efficient Method for Mining Clickstream Patterns. IJCSR 2018: 572-583 - 2017
- [j52]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) - [j51]Bao Huynh, Bay Vo, Václav Snásel:
An Efficient Parallel Method for Mining Frequent Closed Sequential Patterns. IEEE Access 5: 17392-17402 (2017) - [j50]Bao Huynh, Bay Vo, Václav Snásel:
An efficient method for mining frequent sequential patterns using multi-Core processors. Appl. Intell. 46(3): 703-716 (2017) - [j49]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) - [j48]Tram Tran, Bay Vo, Tho Thi Ngoc Le, Ngoc Thanh Nguyen:
Text Clustering Using Frequent Weighted Utility Itemsets. Cybern. Syst. 48(3): 193-209 (2017) - [j47]Bay Vo, Tuong Le, Witold Pedrycz, Giang Nguyen, Sung Wook Baik:
Mining erasable itemsets with subset and superset itemset constraints. Expert Syst. Appl. 69: 50-61 (2017) - [j46]Bay Vo, Sang Pham, Tuong Le, Zhi-Hong Deng:
A novel approach for mining maximal frequent patterns. Expert Syst. Appl. 73: 178-186 (2017) - [j45]Tung Kieu, Bay Vo, Tuong Le, Zhi-Hong Deng, Bac Le:
Mining top-k co-occurrence items with sequential pattern. Expert Syst. Appl. 85: 123-133 (2017) - [j44]Thang Mai, Bay Vo, Loan T. T. Nguyen:
A lattice-based approach for mining high utility association rules. Inf. Sci. 399: 81-97 (2017) - [j43]Lai Duc Anh, Bay Vo, Witold Pedrycz:
Information granulation construction and representation strategies for classification in imbalanced data based on granular computing. J. Inf. Telecommun. 1(2): 113-126 (2017) - [j42]Loan T. T. Nguyen, Truc Trinh, Ngoc Thanh Nguyen, Bay Vo:
A method for mining top-rank-k frequent closed itemsets. J. Intell. Fuzzy Syst. 32(2): 1297-1305 (2017) - [j41]Bay Vo:
An Efficient Method for Mining Frequent Weighted Closed Itemsets from Weighted Item Transaction Databases. J. Inf. Sci. Eng. 33(1): 199-216 (2017) - [j40]Thanh-Long Nguyen, Bay Vo, Václav Snásel:
Efficient algorithms for mining colossal patterns in high dimensional databases. Knowl. Based Syst. 122: 75-89 (2017) - [j39]Philippe Fournier-Viger, Jerry Chun-Wei Lin, Bay Vo, Tin Chi Truong, Ji Zhang, Hoai Bac Le:
A survey of itemset mining. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 7(4) (2017) - [c44]Loan T. T. Nguyen, Bay Vo, Hung Son Nguyen, Sinh Hoa Nguyen:
Mining Class Association Rules with Synthesis Constraints. ACIIDS (1) 2017: 556-565 - [c43]Tzung-Pei Hong, Lu-Hung Chen, Shyue-Liang Wang, Chun-Wei Lin, Bay Vo:
Quasi-erasable itemset mining. IEEE BigData 2017: 1816-1820 - [c42]Jesper Kristensen, Son T. Mai, Ira Assent, Jon Jacobsen, Bay Vo, Anh Le:
Interactive Exploration of Subspace Clusters for High Dimensional Data. DEXA (1) 2017: 327-342 - [c41]Linh T. T. Nguyen, Loan T. T. Nguyen, Bay Vo:
An Improved Algorithm for Mining Top-k Association Rules. ICCSAMA 2017: 117-128 - [c40]Tzung-Pei Hong, Kun-Yi Lin, Chun-Wei Lin, Bay Vo:
An incremental mining algorithm for erasable itemsets. INISTA 2017: 286-289 - [c39]Thanh-Long Nguyen, Bay Vo, Bao Huynh, Václav Snásel, Loan T. T. Nguyen:
Constraint-Based Method for Mining Colossal Patterns in High Dimensional Databases. ISAT (1) 2017: 195-204 - 2016
- [j38]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) - [j37]Ham Nguyen, Bay Vo, Minh Nguyen, Witold Pedrycz:
An efficient algorithm for mining frequent weighted itemsets using interval word segments. Appl. Intell. 45(4): 1008-1020 (2016) - [j36]Vo Van, Jiawei Luo, Bay Vo:
Time Series Trend Analysis Based on K-Means and Support Vector Machine. Comput. Informatics 35(1): 111-127 (2016) - [j35]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) - [j34]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) - [j33]Dang Nguyen, Loan T. T. Nguyen, Bay Vo, Witold Pedrycz:
Efficient mining of class association rules with the itemset constraint. Knowl. Based Syst. 103: 73-88 (2016) - [j32]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) - [j31]Dang Nguyen, Bay Vo, Duc-Lung Vu:
A Parallel Strategy for the Logical-probabilistic Calculus-based Method to Calculate Two-terminal Reliability. Qual. Reliab. Eng. Int. 32(7): 2313-2327 (2016) - [j30]Tuong Le, Bay Vo:
The lattice-based approaches for mining association rules: a review. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 6(4): 140-151 (2016) - [c38]Loan T. T. Nguyen, Hai T. Nguyen, Bay Vo, Ngoc Thanh Nguyen:
A Method for Query Top-K Rules from Class Association Rule Set. ACIIDS (1) 2016: 644-653 - [c37]Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Siddharth Dawar, Vikram Goyal, Ashish Sureka, Bay Vo:
A More Efficient Algorithm to Mine Skyline Frequent-Utility Patterns. ICGEC 2016: 127-135 - [c36]Huong Bui, Bay Vo, Ham Nguyen:
WUN-Miner: A new method for mining frequent Weighted Utility itemsets. SMC 2016: 1365-1370 - [c35]Thanh-Long Nguyen, Bay Vo, Loan T. T. Nguyen:
A new method for mining colossal patterns. SMC 2016: 3119-3124 - [c34]Nguyen Bui, Bay Vo, Van-Nam Huynh, Chun-Wei Lin, Loan T. T. Nguyen:
Mining closed high utility itemsets in uncertain databases. SoICT 2016: 7-14 - [i2]Jamil Ahmad, Mustansar Fiaz, Soon-il Kwon, Maleerat Sodanil, Bay Vo, Sung Wook Baik:
Gender Identification using MFCC for Telephone Applications - A Comparative Study. CoRR abs/1601.01577 (2016) - 2015
- [j29]Hoai Bac Le, Minh-Thai Tran, Bay Vo:
Mining frequent closed inter-sequence patterns efficiently using dynamic bit vectors. Appl. Intell. 43(1): 74-84 (2015) - [j28]Giang Nguyen, Tuong Le, Bay Vo, Hoai Bac Le:
EIFDD: An efficient approach for erasable itemset mining of very dense datasets. Appl. Intell. 43(1): 85-94 (2015) - [j27]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) - [j26]Dang Nguyen, Bay Vo, Bac Le:
CCAR: An efficient method for mining class association rules with itemset constraints. Eng. Appl. Artif. Intell. 37: 115-124 (2015) - [j25]Minh-Thai Tran, Bac Le, Bay Vo:
Combination of dynamic bit vectors and transaction information for mining frequent closed sequences efficiently. Eng. Appl. Artif. Intell. 38: 183-189 (2015) - [j24]Quyen Huynh-Thi-Le, Tuong Le, Bay Vo, Hoai Bac Le:
An efficient and effective algorithm for mining top-rank-k frequent patterns. Expert Syst. Appl. 42(1): 156-164 (2015) - [j23]Tuong Le, Bay Vo:
An N-list-based algorithm for mining frequent closed patterns. Expert Syst. Appl. 42(19): 6648-6657 (2015) - [j22]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) - [j21]Bay Vo, Hien T. Nguyen:
Mining frequent closed itemsets from multidimensional databases. Int. J. Comput. Vis. Robotics 5(3): 217-230 (2015) - [j20]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) - [c33]Giang Nguyen, Tuong Le, Bay Vo, Bac Le:
Discovering Erasable Closed Patterns. ACIIDS (1) 2015: 368-376 - [c32]Bay Vo, Dang Nguyen, Thanh-Long Nguyen:
A Parallel Algorithm for Frequent Subgraph Mining. ICCSAMA 2015: 163-173 - [c31]Tran Anh Quan, Bay Vo:
Similarity Measure for Fiber Clustering: A Constant Time Complexity Algorithm. KSE 2015: 286-291 - [c30]Duy Ham Nguyen, Bay Vo, Thi Hong, Minh Nguyen, Tzung-Pei Hong:
An Improved Algorithm for Mining Frequent Weighted Itemsets. SMC 2015: 2579-2584 - 2014
- [j19]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) - [j18]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) - [j17]Hai V. Duong, Tin C. Truong, Bay Vo:
An efficient method for mining frequent itemsets with double constraints. Eng. Appl. Artif. Intell. 27: 148-154 (2014) - [j16]Tuong Le, Bay Vo:
MEI: An efficient algorithm for mining erasable itemsets. Eng. Appl. Artif. Intell. 27: 155-166 (2014) - [j15]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) - [j14]Phuong-Thanh La, Bac Le, Bay Vo:
Incrementally building frequent closed itemset lattice. Expert Syst. Appl. 41(6): 2703-2712 (2014) - [j13]Dang Nguyen, Bay Vo, Bac Le:
Efficient strategies for parallel mining class association rules. Expert Syst. Appl. 41(10): 4716-4729 (2014) - [j12]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) - [j11]Thien-Trang Van, Bay Vo, Bac Le:
IMSR_PreTree: an improved algorithm for mining sequential rules based on the prefix-tree. Vietnam. J. Comput. Sci. 1(2): 97-105 (2014) - [j10]Tuong Le, Bay Vo, Giang Nguyen:
A survey of erasable itemset mining algorithms. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 4(5): 356-379 (2014) - [c29]Giang Nguyen, Tuong Le, Bay Vo, Bac Le:
A New Approach for Mining Top-Rank-k Erasable Itemsets. ACIIDS (1) 2014: 73-82 - [c28]Tien Lu, Bay Vo, Hien T. Nguyen, Tzung-Pei Hong:
A New Method for Mining High Average Utility Itemsets. CISIM 2014: 33-42 - [c27]