H. Sug

发表

Generating Better Radial Basis Function Network for Large Data Set of Census

Hyontai Sug, H. Sug, 2010 .

The relationship of sample size and accuracy in radial basis function networks

H. Sug, 2009 .

Performance Comparison of Different OverSampling Rates of Decision Trees for the Class of Higher Error Rate in the Liver Data Set

H. Sug, 2022 .

Rule Discovery using Patterns from Joined Table of Relational Databases

D. Dankel, H. Sug, 2008 .

Finding More Accurate Decision Models Based on Rough Set Theory

H. Sug, 2006 .

Data Mining of High Accuracy for the Efficiency in the Task of Massive Printing

H. Sug, 2012 .

Better Classification of Pathological Tissue Classes from EIS data of Breast Tissue

H. Sug, 2018 .

Investigating better multi-layer perceptrons for the task of classification

Hyontai Sug, H. Sug, 2010 .

An experimental decision of samples for RBF neural networks

Hyontai Sug, H. Sug, 2009 .

An effective sampling method for decision trees considering comprehensibility and accuracy

Hyontai Sug, H. Sug, 2009 .

An empirical determination of samples for decision trees

Hyontai Sug, H. Sug, 2009 .

Using Machine Learning Methods Jointly to Find Better Set of Rules in Data Mining

Hyontai Sug, H. Sug, 2017 .

Using τhe Set of Attributes of Frequent Itemsets for Better Rough Set based Rules

Hyontai Sug, H. Sug, 2017 .

Using Quick Decision Tree Algorithm to Find Better RBF Networks

Hyontai Sug, H. Sug, Hyontai Sug, 2011, ACIIDS.

Class Selection Avoiding Key-like Property for Better Precise Rules

Hyontai Sug, H. Sug, 2006, DMIN.

Generating Decision Trees with Boughs

Hyontai Sug, H. Sug, 2006, IC-AI.

Performance analysis of intrusion detection systems for Smartphone security enhancements

Dae-Ki Kang, Hyontai Sug, HoonJae Lee, 2011, International Conference on Mobile IT Convergence.

An Effective Method to Find Better Data Mining Model Using Inferior Class Oversampling

Hyontai Sug, H. Sug, 2011, ICHIT.

An efficient discovery of class-restricted MARs

Hyontai Sug, H. Sug, 2011 .

Discovery of Multidimensional Association Rules Focusing on Instances in Specific Class

Hyontai Sug, H. Sug, 2011 .

The effect of training set size for the performance of neural networks of classification

Hyontai Sug, H. Sug, Hyontai Sug, 2010 .

The Effect of Biased Sampling in Radial Basis Function Networks for Data Mining

Hyontai Sug, H. Sug, Hyontai Sug, 2011, FGIT-MulGraB.

An objective method to find better RBF networks in classification

Hyontai Sug, H. Sug, Hyontai Sug, 2010, 5th International Conference on Computer Sciences and Convergence Information Technology.

Ozone day prediction with radial basis function networks

Hyontai Sug, H. Sug, 2010 .

An effective sampling scheme for better multi-layer perceptrons

Hyontai Sug, H. Sug, 2010 .

A comparison of RBF networks and random forest in forecasting ozone day

Hyontai Sug, H. Sug, 2022 .

Reducing on the Number of Testing Items in the Branches of Decision Trees

Hyontai Sug, H. Sug, 2004, ICCSA.

Making Use of Functional Dependencies Based on Data to Find Better Classification Trees

Hyontai Sug, H. Sug, 2021, International Journal of Circuits, Systems and Signal Processing.

A pilot sampling method for multi-layer perceptrons

Hyontai Sug, H. Sug, 2009 .

Improving the prediction accuracy of liver disorder disease with oversampling

Hyontai Sug, H. Sug, 2012 .

Improving the performance of minor class in decision tree using duplicating instances

Hyontai Sug, H. Sug, 2011 .

Property of artificial neural networks of classification with respect to training set size

Hyontai Sug, H. Sug, 2010 .

An empirical improvement of the accuracy of RBF networks

Hyontai Sug, H. Sug, 2009, ICIS.

Sampling scheme for better RBF network

Hyontai Sug, H. Sug, 2009, ICHIT '09.

A Structural Sampling Technique for Better Decision Trees

Hyontai Sug, H. Sug, 2009, 2009 First Asian Conference on Intelligent Information and Database Systems.

Applying Randomness Effectively Based on Random Forests for Classification Task of Datasets of Insufficient Information

Hyontai Sug, H. Sug, 2012, J. Appl. Math..

A Method for Normalization of Relation Schema Based on Data to Abide by the Third Normal Form

H. Sug, 2020, WSEAS TRANSACTIONS ON MATHEMATICS.

Applying Rough Sets to Maintain Data Consistency for High Degree Relations

Hyontai Sug, H. Sug, 2008, 2008 Fourth International Conference on Networked Computing and Advanced Information Management.

A Rough Set based Data Inconsistency Checking Method for Relational Databases

Hyontai Sug, H. Sug, 2008 .

An Efficient Method of Data Inconsistency Check for Very Large Relations

Hyontai Sug, H. Sug, 2007 .