Fuzzy Web Usage Mining for User Modeling. - Jae-Sung Jang; Sung-Hae Jun; Kyung-Whan Oh (Int. J. Fuzzy Log. Intell. Syst., 2002)

Sparse Data Cleaning using Multiple Imputations. - Sung-Hae Jun; Seung-Joo Lee; Kyung-Whan Oh (Int. J. Fuzzy Log. Intell. Syst., 2004)

Web Usage Mining Using Evolutionary Support Vector Machine. - Sung-Hae Jun (Australian Conference on Artificial Intelligence, 2005)

Web Usage Mining Using Support Vector Machine. - Sung-Hae Jun (IWANN, 2005)

A Co-Evolutionary Computing for Statistical Learning Theory. - Sung-Hae Jun (Int. J. Fuzzy Log. Intell. Syst., 2005)

A Competitive Co-evolving Support Vector Clustering. - Sung-Hae Jun; Kyung-Whan Oh (ICONIP (1), 2006)

An Optimal Clustering using Hybrid Self Organizing Map. - Sung-Hae Jun (Int. J. Fuzzy Log. Intell. Syst., 2006)

A Web Recommendation System using Grid based Support Vector Machines. - Sung-Hae Jun (Int. J. Fuzzy Log. Intell. Syst., 2007)

Improvement of Self Organizing Maps using Gap Statistic and Probability Distribution. - Sung-Hae Jun (Int. J. Fuzzy Log. Intell. Syst., 2008)

Improvement of Support Vector Clustering using Evolutionary Programming and Bootstrap. - Sung-Hae Jun (Int. J. Fuzzy Log. Intell. Syst., 2008)

A Comparison Study of Classification Algorithms in Data Mining. - Seung-Joo Lee; Sung-Hae Jun (Int. J. Fuzzy Log. Intell. Syst., 2008)

A preprocessing of outlier using KERNEL PCA and factor scores in regression model. - Kyung-Whan Oh; Sung-Hae Jun; Yong-Jun Kim (FUZZ-IEEE, 2009)

Improvement of SOM using Stratification. - Sung-Hae Jun (Int. J. Fuzzy Log. Intell. Syst., 2009)

Support Vector Machine based on Stratified Sampling. - Sung-Hae Jun (Int. J. Fuzzy Log. Intell. Syst., 2009)

Empirical Comparisons of Clustering Algorithms using Silhouette Information. - Sung-Hae Jun; Seung-Joo Lee (Int. J. Fuzzy Log. Intell. Syst., 2010)

IPC Code Analysis of Patent Documents Using Association Rules and Maps - Patent Analysis of Database Technology. - Sunghae Jun (FGIT-DTA/BSBT, 2011)

A Forecasting Model for Technological Trend Using Unsupervised Learning. - Sunghae Jun (FGIT-DTA/BSBT, 2011)

A Classification Method Using Data Reduction. - Daiho Uhm; Sung-Hae Jun; Seung-Joo Lee (Int. J. Fuzzy Log. Intell. Syst., 2012)

Technology Forecasting using Matrix Map and Patent Clustering. - Sunghae Jun; Sang-Sung Park; Dong-Sik Jang (Ind. Manag. Data Syst., 2012)

Examining technological innovation of Apple using patent analysis. - Sunghae Jun; Sang-Sung Park (Ind. Manag. Data Syst., 2013)

Document clustering method using dimension reduction and support vector clustering to overcome sparseness. - Sunghae Jun; Sang-Sung Park; Dong-Sik Jang (Expert Syst. Appl., 2014)

Vacant technology forecasting using new Bayesian patent clustering. - Seongyong Choi; Sunghae Jun (Technol. Anal. Strateg. Manag., 2014)

Graphical causal inference and copula regression model for apple keywords by text mining. - Jong-Min Kim 001; Sunghae Jun (Adv. Eng. Informatics, 2015)

Frequentist and Bayesian Learning Approaches to Artificial Intelligence. - Sunghae Jun (Int. J. Fuzzy Log. Intell. Syst., 2016)

Methodology of technological evolution for three-dimensional printing. - Sangsung Park; Ju-Hwan Kim; Hongchul Lee; Dong-Sik Jang; Sunghae Jun (Ind. Manag. Data Syst., 2016)

Examining technological competition between BMW and Hyundai in the Korean car market. - Sunghae Jun; Sangsung Park (Technol. Anal. Strateg. Manag., 2016)

Patent Big Data Analysis using Fuzzy Learning. - Sangsung Park; Seung-Joo Lee; Sunghae Jun (Int. J. Fuzzy Syst., 2017)

Integer-valued GARCH processes for Apple technology analysis. - Jong-Min Kim 001; Sunghae Jun (Ind. Manag. Data Syst., 2017)

An integrated social network mining for product-based technology analysis of Apple. - Ju-Hwan Kim; Sunghae Jun; Dong-Sik Jang; Sangsung Park (Ind. Manag. Data Syst., 2017)

Penalized regression models for patent keyword analysis. - Jong-Min Kim 001; Jea-Bok Ryu; Seung-Joo Lee; Sunghae Jun (Model. Assist. Stat. Appl., 2017)

Factor analysis and structural equation model for patent analysis: a case study of Apple's technology. - Jong-Min Kim 001; Dong Man Im; Sunghae Jun (Technol. Anal. Strateg. Manag., 2017)

Multivariate multiple regression modelling for technology analysis. - Sunghae Jun; Jacob Wood; Sangsung Park (Technol. Anal. Strateg. Manag., 2018)

Study on the Prediction of Patent Hiding Company Using Patent Information Analysis. - Youngho Kim; Junseok Lee 004; Jiho Kang; Sangsung Park; Sunghae Jun; Dong-Sik Jang (ICICM, 2019)

A Study on Visualization of Technology Transfer using Distance based Patent Network Analysis. - Juhyun Lee; Junseok Lee 004; Jiho Kang; Sangsung Park; Sunghae Jun; Dong-Sik Jang (ICICM, 2019)

Patent data analysis using functional count data model. - Jong-Min Kim 001; Nak-Kyeong Kim; Yoon-Sung Jung; Sunghae Jun (Soft Comput., 2019)

Bayesian Inference and Learning for Neural Networks and Deep Learning. - Sunghae Jun (ICAIIC, 2020)

Technological cognitive diagnosis model for patent keyword analysis. - Sangsung Park; Sunghae Jun (ICT Express, 2020)

Machines Imitating Human Thinking Using Bayesian Learning and Bootstrap. - Sunghae Jun (Symmetry, 2021)

Text Data Analysis Using Generalized Linear Mixed Model and Bayesian Visualization. - Sunghae Jun (Axioms, 2022)

Zero-Inflated Patent Data Analysis Using Generating Synthetic Samples. - Daiho Uhm; Sunghae Jun (Future Internet, 2022)

Zero-Inflated Text Data Analysis using Generative Adversarial Networks and Statistical Modeling. - Sunghae Jun (Comput., 2023)

Patent Keyword Analysis Using Bayesian Factor Analysis and Social Network Visualization in Digital Therapy Technology. - Sunghae Jun (Comput., 2025)