Hyontai Sug

27 papers B 1C 2Misc 9Journal 3Unranked 12
YearRankTypeTitle / Venue / Authors
2015 J jnl
A New Estimation Model for Wireless Sensor Networks Based on the Spatial-Temporal Correlation Analysis.
J. Inform. and Commun. Convergence Engineering
Xiaojun Ren, Hyontai Sug, HoonJae Lee
2013 — conf
Better Induction Models for Classification of Forest Cover.
MUSIC
Hyontai Sug
2012 J jnl
Applying Randomness Effectively Based on Random Forests for Classification Task of Datasets of Insufficient Information.
J. Appl. Math.
Hyontai Sug
2012 — conf
Better Decision Tree Induction for Limited Data Sets of Liver Disease.
FGIT-MulGraB/BSBT/IUrC
Hyontai Sug
2011 — conf
An Effective Method to Find Better Data Mining Model Using Inferior Class Oversampling.
ICHIT (2)
Hyontai Sug
2011 — conf
The Effect of Biased Sampling in Radial Basis Function Networks for Data Mining.
FGIT-MulGraB (1)
Hyontai Sug
2011 — conf
Using Quick Decision Tree Algorithm to Find Better RBF Networks.
ACIIDS (1)
Hyontai Sug
2009 B conf
A Structural Sampling Technique for Better Decision Trees.
ACIIDS
Hyontai Sug
2009 C conf
An empirical improvement of the accuracy of RBF networks.
ICIS
Hyontai Sug
2009 — conf
Sampling scheme for better RBF network.
ICHIT
Hyontai Sug
2008 J jnl
A Rule Set Generation Technique for Better Decision Making.
J. Digit. Content Technol. its Appl.
Hyontai Sug
2008 — conf
Applying Rough Sets to Maintain Data Consistency for High Degree Relations.
NCM (2)
Hyontai Sug
2008 Misc conf
Finding Association Rules in Large Relations for Possible Normalization.
IKE
Hyontai Sug
2008 — conf
Finding Hidden Functional Dependencies in Relations Efficiently.
Artificial Intelligence and Pattern Recognition
Hyontai Sug
2007 Misc conf
Discovering Rules about Customer Behavior for Logistics using RFID Tags.
IKE
Hyontai Sug
2007 Misc conf
Finding More Interesting Rules with Decision Trees fo Very Large Databases.
IC-AI
Hyontai Sug
2006 — conf
Class Selection Avoiding Key-like Property for Better Precise Rules.
DMIN
Hyontai Sug
2006 Misc conf
Generating Decision Trees with Boughs.
IC-AI
Hyontai Sug
2006 — conf
Using Reliable Short Rules to Avoid Unnecessary Tests in Decision Trees.
MICAI
Hyontai Sug
2005 C conf
A Comprehensively Sized Decision Tree Generation Method for Interactive Data Mining of Very Large Databases.
ADMA
Hyontai Sug
2005 Misc conf
Applying Rapid Knowledge Model in Finding Categorical.
IC-AI
Hyontai Sug
2004 Misc conf
A Discovery of Rules of Hierarch for Very Large Databases.
IKE
Hyontai Sug
2004 Misc conf
Determining a Good Decision Attribute for Knowledge Discovery in Databases.
IC-AI
Hyontai Sug
2004 — conf
Reducing on the Number of Testing Items in the Branches of Decision Trees.
ICCSA (4)
Hyontai Sug
2003 — conf
An Empirical Study on Possibility of Improvement on Decision Trees for Large Databases.
IASSE
Hyontai Sug
2003 Misc conf
Comparison of Multidimensional Association Rules with Decision Trees for Large Database.
IC-AI
Hyontai Sug
2003 Misc conf
Generating Smaller Decision Trees for Understandability Using Frequent Attributes.
IKE
Hyontai Sug