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ORCIDSung-Hae Jun
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- affiliation: Cheongju University, Department of Statistics, South Korea
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2020 – today
- 2023
[j32]Sunghae Jun
:
Zero-Inflated Text Data Analysis using Generative Adversarial Networks and Statistical Modeling. Comput. 12(12): 258 (2023)- 2022
- [j31]Sunghae Jun:
Text Data Analysis Using Generalized Linear Mixed Model and Bayesian Visualization. Axioms 11(12): 674 (2022) - [j30]Daiho Uhm, Sunghae Jun:
Zero-Inflated Patent Data Analysis Using Generating Synthetic Samples. Future Internet 14(7): 211 (2022) - 2021
- [j29]Sunghae Jun:
Machines Imitating Human Thinking Using Bayesian Learning and Bootstrap. Symmetry 13(3): 389 (2021) - 2020
- [j28]Sangsung Park, Sunghae Jun:
Technological cognitive diagnosis model for patent keyword analysis. ICT Express 6(1): 57-61 (2020) - [c9]Sunghae Jun:
Bayesian Inference and Learning for Neural Networks and Deep Learning. ICAIIC 2020: 569-571
2010 – 2019
- 2019
- [j27]Jong-Min Kim, Nak-Kyeong Kim, Yoon-Sung Jung, Sunghae Jun:
Patent data analysis using functional count data model. Soft Comput. 23(18): 8815-8826 (2019) - [c8]Juhyun Lee, Junseok Lee, Jiho Kang, Sangsung Park, Sunghae Jun, Dong-Sik Jang:
A Study on Visualization of Technology Transfer using Distance based Patent Network Analysis. ICICM 2019: 66-69 - [c7]Youngho Kim, Junseok Lee, Jiho Kang, Sangsung Park, Sunghae Jun, Dong-Sik Jang:
Study on the Prediction of Patent Hiding Company Using Patent Information Analysis. ICICM 2019: 123-126 - 2018
- [j26]Sunghae Jun, Jacob Wood, Sangsung Park:
Multivariate multiple regression modelling for technology analysis. Technol. Anal. Strateg. Manag. 30(3): 311-323 (2018) - 2017
- [j25]Sangsung Park, Seung-Joo Lee, Sunghae Jun:
Patent Big Data Analysis using Fuzzy Learning. Int. J. Fuzzy Syst. 19(4): 1158-1167 (2017) - [j24]Jong-Min Kim, Sunghae Jun:
Integer-valued GARCH processes for Apple technology analysis. Ind. Manag. Data Syst. 117(10): 2381-2399 (2017) - [j23]Ju-Hwan Kim, Sunghae Jun, Dong-Sik Jang, Sangsung Park:
An integrated social network mining for product-based technology analysis of Apple. Ind. Manag. Data Syst. 117(10): 2417-2430 (2017) - [j22]Jong-Min Kim, Jea-Bok Ryu, Seung-Joo Lee, Sunghae Jun:
Penalized regression models for patent keyword analysis. Model. Assist. Stat. Appl. 12(3): 239-244 (2017) - [j21]Jong-Min Kim, Dong Man Im, Sunghae Jun:
Factor analysis and structural equation model for patent analysis: a case study of Apple's technology. Technol. Anal. Strateg. Manag. 29(7): 717-734 (2017) - 2016
- [j20]Sunghae Jun:
Frequentist and Bayesian Learning Approaches to Artificial Intelligence. Int. J. Fuzzy Log. Intell. Syst. 16(2): 111-118 (2016) - [j19]Sangsung Park, Ju-Hwan Kim, Hongchul Lee, Dong-Sik Jang, Sunghae Jun:
Methodology of technological evolution for three-dimensional printing. Ind. Manag. Data Syst. 116(1): 122-146 (2016) - [j18]Sunghae Jun, Sangsung Park:
Examining technological competition between BMW and Hyundai in the Korean car market. Technol. Anal. Strateg. Manag. 28(2): 156-175 (2016) - 2015
- [j17]Jong-Min Kim, Sunghae Jun:
Graphical causal inference and copula regression model for apple keywords by text mining. Adv. Eng. Informatics 29(4): 918-929 (2015) - 2014
- [j16]Sunghae Jun, Sang-Sung Park, Dong-Sik Jang:
Document clustering method using dimension reduction and support vector clustering to overcome sparseness. Expert Syst. Appl. 41(7): 3204-3212 (2014) - [j15]Seongyong Choi, Sunghae Jun:
Vacant technology forecasting using new Bayesian patent clustering. Technol. Anal. Strateg. Manag. 26(3): 241-251 (2014) - 2013
- [j14]Sunghae Jun, Sang-Sung Park:
Examining technological innovation of Apple using patent analysis. Ind. Manag. Data Syst. 113(6): 890-907 (2013) - 2012
- [j13]Daiho Uhm, Sung-Hae Jun, Seung-Joo Lee:
A Classification Method Using Data Reduction. Int. J. Fuzzy Log. Intell. Syst. 12(1): 1-5 (2012) - [j12]Sunghae Jun, Sang-Sung Park, Dong-Sik Jang:
Technology Forecasting using Matrix Map and Patent Clustering. Ind. Manag. Data Syst. 112(5): 786-807 (2012) - 2011
- [c6]Sunghae Jun:
IPC Code Analysis of Patent Documents Using Association Rules and Maps - Patent Analysis of Database Technology. FGIT-DTA/BSBT 2011: 21-30 - [c5]Sunghae Jun:
A Forecasting Model for Technological Trend Using Unsupervised Learning. FGIT-DTA/BSBT 2011: 51-60 - 2010
- [j11]Sung-Hae Jun, Seung-Joo Lee:
Empirical Comparisons of Clustering Algorithms using Silhouette Information. Int. J. Fuzzy Log. Intell. Syst. 10(1): 31-36 (2010)
2000 – 2009
- 2009
- [j10]Sung-Hae Jun:
Improvement of SOM using Stratification. Int. J. Fuzzy Log. Intell. Syst. 9(1): 36-41 (2009) - [j9]Sung-Hae Jun:
Support Vector Machine based on Stratified Sampling. Int. J. Fuzzy Log. Intell. Syst. 9(2): 141-146 (2009) - [c4]Kyung-Whan Oh, Sung-Hae Jun, Yong-Jun Kim:
A preprocessing of outlier using KERNEL PCA and factor scores in regression model. FUZZ-IEEE 2009: 2132-2135 - 2008
- [j8]Seung-Joo Lee, Sung-Hae Jun:
A Comparison Study of Classification Algorithms in Data Mining. Int. J. Fuzzy Log. Intell. Syst. 8(1): 1-5 (2008) - [j7]Sung-Hae Jun:
Improvement of Self Organizing Maps using Gap Statistic and Probability Distribution. Int. J. Fuzzy Log. Intell. Syst. 8(2): 116-120 (2008) - [j6]Sung-Hae Jun:
Improvement of Support Vector Clustering using Evolutionary Programming and Bootstrap. Int. J. Fuzzy Log. Intell. Syst. 8(3): 196-201 (2008) - 2007
- [j5]Sung-Hae Jun:
A Web Recommendation System using Grid based Support Vector Machines. Int. J. Fuzzy Log. Intell. Syst. 7(2): 91-95 (2007) - 2006
- [j4]Sung-Hae Jun:
An Optimal Clustering using Hybrid Self Organizing Map. Int. J. Fuzzy Log. Intell. Syst. 6(1): 10-14 (2006) - [c3]Sung-Hae Jun, Kyung-Whan Oh:
A Competitive Co-evolving Support Vector Clustering. ICONIP (1) 2006: 864-873 - 2005
- [j3]Sung-Hae Jun:
A Co-Evolutionary Computing for Statistical Learning Theory. Int. J. Fuzzy Log. Intell. Syst. 5(4): 281-285 (2005) - [c2]Sung-Hae Jun:
Web Usage Mining Using Evolutionary Support Vector Machine. Australian Conference on Artificial Intelligence 2005: 1015-1020 - [c1]Sung-Hae Jun:
Web Usage Mining Using Support Vector Machine. IWANN 2005: 349-356 - 2004
- [j2]Sung-Hae Jun, Seung-Joo Lee, Kyung-Whan Oh:
Sparse Data Cleaning using Multiple Imputations. Int. J. Fuzzy Log. Intell. Syst. 4(1): 119-124 (2004) - 2002
- [j1]Jae-Sung Jang, Sung-Hae Jun, Kyung-Whan Oh:
Fuzzy Web Usage Mining for User Modeling. Int. J. Fuzzy Log. Intell. Syst. 2(3): 204-209 (2002)
Coauthor Index
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