An Empirical Study on Possibility of Improvement on Decision Trees for Large Databases. - Hyontai Sug (IASSE, 2003)

Comparison of Multidimensional Association Rules with Decision Trees for Large Database. - Hyontai Sug (IC-AI, 2003)

Generating Smaller Decision Trees for Understandability Using Frequent Attributes. - Hyontai Sug (IKE, 2003)

Determining a Good Decision Attribute for Knowledge Discovery in Databases. - Hyontai Sug (IC-AI, 2004)

Reducing on the Number of Testing Items in the Branches of Decision Trees. - Hyontai Sug (ICCSA (4), 2004)

A Discovery of Rules of Hierarch for Very Large Databases. - Hyontai Sug (IKE, 2004)

A Comprehensively Sized Decision Tree Generation Method for Interactive Data Mining of Very Large Databases. - Hyontai Sug (ADMA, 2005)

Applying Rapid Knowledge Model in Finding Categorical. - Hyontai Sug (IC-AI, 2005)

Class Selection Avoiding Key-like Property for Better Precise Rules. - Hyontai Sug (DMIN, 2006)

Generating Decision Trees with Boughs. - Hyontai Sug (IC-AI, 2006)

Using Reliable Short Rules to Avoid Unnecessary Tests in Decision Trees. - Hyontai Sug (MICAI, 2006)

Finding More Interesting Rules with Decision Trees fo Very Large Databases. - Hyontai Sug (IC-AI, 2007)

Discovering Rules about Customer Behavior for Logistics using RFID Tags. - Hyontai Sug (IKE, 2007)

Finding Hidden Functional Dependencies in Relations Efficiently. - Hyontai Sug (Artificial Intelligence and Pattern Recognition, 2008)

Finding Association Rules in Large Relations for Possible Normalization. - Hyontai Sug (IKE, 2008)

Applying Rough Sets to Maintain Data Consistency for High Degree Relations. - Hyontai Sug (NCM (2), 2008)

A Rule Set Generation Technique for Better Decision Making. - Hyontai Sug (J. Digit. Content Technol. its Appl., 2008)

A Structural Sampling Technique for Better Decision Trees. - Hyontai Sug (ACIIDS, 2009)

Sampling scheme for better RBF network. - Hyontai Sug (ICHIT, 2009)

An empirical improvement of the accuracy of RBF networks. - Hyontai Sug (ICIS, 2009)

Using Quick Decision Tree Algorithm to Find Better RBF Networks. - Hyontai Sug (ACIIDS (1), 2011)

The Effect of Biased Sampling in Radial Basis Function Networks for Data Mining. - Hyontai Sug (FGIT-MulGraB (1), 2011)

An Effective Method to Find Better Data Mining Model Using Inferior Class Oversampling. - Hyontai Sug (ICHIT (2), 2011)

Better Decision Tree Induction for Limited Data Sets of Liver Disease. - Hyontai Sug (FGIT-MulGraB/BSBT/IUrC, 2012)

Applying Randomness Effectively Based on Random Forests for Classification Task of Datasets of Insufficient Information. - Hyontai Sug (J. Appl. Math., 2012)

Better Induction Models for Classification of Forest Cover. - Hyontai Sug (MUSIC, 2013)

A New Estimation Model for Wireless Sensor Networks Based on the Spatial-Temporal Correlation Analysis. - Xiaojun Ren; Hyontai Sug; HoonJae Lee (J. Inform. and Commun. Convergence Engineering, 2015)