Hyontai Sug DBLP Vis pubzone.org

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DBLP keys2009
18Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHyontai Sug: A Structural Sampling Technique for Better Decision Trees. ACIIDS 2009: 24-27
17Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHyontai Sug: Sampling scheme for better RBF network. ICHIT 2009: 413-416
2008
16no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHyontai Sug: Finding Hidden Functional Dependencies in Relations Efficiently. Artificial Intelligence and Pattern Recognition 2008: 228-231
15no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHyontai Sug: Finding Association Rules in Large Relations for Possible Normalization. IKE 2008: 165-169
14Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHyontai Sug: A Rule Set Generation Technique for Better Decision Making. JDCTA 2(2): 60-63 (2008)
2007
13no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHyontai Sug: Finding More Interesting Rules with Decision Trees fo Very Large Databases. IC-AI 2007: 476-480
12no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHyontai Sug: Discovering Rules about Customer Behavior for Logistics using RFID Tags. IKE 2007: 86-89
2006
11no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHyontai Sug: Class Selection Avoiding Key-like Property for Better Precise Rules. DMIN 2006: 372-375
10no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHyontai Sug: Generating Decision Trees with Boughs. IC-AI 2006: 545-550
9Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHyontai Sug: Using Reliable Short Rules to Avoid Unnecessary Tests in Decision Trees. MICAI 2006: 604-611
2005
8Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHyontai Sug: A Comprehensively Sized Decision Tree Generation Method for Interactive Data Mining of Very Large Databases. ADMA 2005: 141-148
7no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHyontai Sug: Applying Rapid Knowledge Model in Finding Categorical. IC-AI 2005: 327-332
2004
6no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHyontai Sug: Determining a Good Decision Attribute for Knowledge Discovery in Databases. IC-AI 2004: 288-294
5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHyontai Sug: Reducing on the Number of Testing Items in the Branches of Decision Trees. ICCSA (4) 2004: 158-166
4no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHyontai Sug: A Discovery of Rules of Hierarch for Very Large Databases. IKE 2004: 353-357
2003
3no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHyontai Sug: An Empirical Study on Possibility of Improvement on Decision Trees for Large Databases. IASSE 2003: 89-92
2no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHyontai Sug: Comparison of Multidimensional Association Rules with Decision Trees for Large Database. IC-AI 2003: 121-126
1no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLHyontai Sug: Generating Smaller Decision Trees for Understandability Using Frequent Attributes. IKE 2003: 142-148

Copyright © Thu Dec 17 16:12:58 2009 by Michael Ley (ley@uni-trier.de)