Hyontai Sug

According to our database1, Hyontai Sug authored at least 27 papers between 2003 and 2015.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2015
A New Estimation Model for Wireless Sensor Networks Based on the Spatial-Temporal Correlation Analysis.
J. Inform. and Commun. Convergence Engineering, 2015

2013
Better Induction Models for Classification of Forest Cover.
Proceedings of the Mobile, Ubiquitous, and Intelligent Computing, 2013

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

Better Decision Tree Induction for Limited Data Sets of Liver Disease.
Proceedings of the Computer Applications for Bio-technology, Multimedia, and Ubiquitous City, 2012

2011
An Effective Method to Find Better Data Mining Model Using Inferior Class Oversampling.
Proceedings of the Convergence and Hybrid Information Technology, 2011

The Effect of Biased Sampling in Radial Basis Function Networks for Data Mining.
Proceedings of the Multimedia, Computer Graphics and Broadcasting, 2011

Using Quick Decision Tree Algorithm to Find Better RBF Networks.
Proceedings of the Intelligent Information and Database Systems, 2011

2009
An empirical improvement of the accuracy of RBF networks.
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, 2009

Sampling scheme for better RBF network.
Proceedings of the 2009 International Conference on Hybrid Information Technology, 2009

A Structural Sampling Technique for Better Decision Trees.
Proceedings of the First Asian Conference on Intelligent Information and Database Systems, 2009

2008
A Rule Set Generation Technique for Better Decision Making.
J. Digit. Content Technol. its Appl., 2008

Applying Rough Sets to Maintain Data Consistency for High Degree Relations.
Proceedings of the NCM 2008, The Fourth International Conference on Networked Computing and Advanced Information Management, Gyeongju, Korea, September 2-4, 2008, 2008

Finding Association Rules in Large Relations for Possible Normalization.
Proceedings of the 2008 International Conference on Information & Knowledge Engineering, 2008

Finding Hidden Functional Dependencies in Relations Efficiently.
Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2008

2007
Discovering Rules about Customer Behavior for Logistics using RFID Tags.
Proceedings of the 2007 International Conference on Information & Knowledge Engineering, 2007

Finding More Interesting Rules with Decision Trees fo Very Large Databases.
Proceedings of the 2007 International Conference on Artificial Intelligence, 2007

2006
Using Reliable Short Rules to Avoid Unnecessary Tests in Decision Trees.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006

Generating Decision Trees with Boughs.
Proceedings of the 2006 International Conference on Artificial Intelligence, 2006

Class Selection Avoiding Key-like Property for Better Precise Rules.
Proceedings of the 2006 International Conference on Data Mining, 2006

2005
Applying Rapid Knowledge Model in Finding Categorical.
Proceedings of the 2005 International Conference on Artificial Intelligence, 2005

A Comprehensively Sized Decision Tree Generation Method for Interactive Data Mining of Very Large Databases.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

2004
A Discovery of Rules of Hierarch for Very Large Databases.
Proceedings of the International Conference on Information and Knowledge Engineering. IKE'04, 2004

Reducing on the Number of Testing Items in the Branches of Decision Trees.
Proceedings of the Computational Science and Its Applications, 2004

Determining a Good Decision Attribute for Knowledge Discovery in Databases.
Proceedings of the International Conference on Artificial Intelligence, 2004

2003
Generating Smaller Decision Trees for Understandability Using Frequent Attributes.
Proceedings of the International Conference on Information and Knowledge Engineering. IKE'03, June 23, 2003

Comparison of Multidimensional Association Rules with Decision Trees for Large Database.
Proceedings of the International Conference on Artificial Intelligence, 2003

An Empirical Study on Possibility of Improvement on Decision Trees for Large Databases.
Proceedings of the 12th International Conference on Intelligent and Adaptive Systems and Software Engineering, 2003


  Loading...