| 2008 |
|---|
| 16 | | Hyontai Sug:
Finding Hidden Functional Dependencies in Relations Efficiently.
Artificial Intelligence and Pattern Recognition 2008: 228-231 |
| 15 | | Hyontai Sug:
Finding Association Rules in Large Relations for Possible Normalization.
IKE 2008: 165-169 |
| 14 | EE | Hyontai Sug:
A Rule Set Generation Technique for Better Decision Making.
JDCTA 2(2): 60-63 (2008) |
| 2007 |
|---|
| 13 | | Hyontai Sug:
Finding More Interesting Rules with Decision Trees fo Very Large Databases.
IC-AI 2007: 476-480 |
| 12 | | Hyontai Sug:
Discovering Rules about Customer Behavior for Logistics using RFID Tags.
IKE 2007: 86-89 |
| 2006 |
|---|
| 11 | | Hyontai Sug:
Class Selection Avoiding Key-like Property for Better Precise Rules.
DMIN 2006: 372-375 |
| 10 | | Hyontai Sug:
Generating Decision Trees with Boughs.
IC-AI 2006: 545-550 |
| 9 | EE | Hyontai Sug:
Using Reliable Short Rules to Avoid Unnecessary Tests in Decision Trees.
MICAI 2006: 604-611 |
| 2005 |
|---|
| 8 | EE | Hyontai Sug:
A Comprehensively Sized Decision Tree Generation Method for Interactive Data Mining of Very Large Databases.
ADMA 2005: 141-148 |
| 7 | | Hyontai Sug:
Applying Rapid Knowledge Model in Finding Categorical.
IC-AI 2005: 327-332 |
| 2004 |
|---|
| 6 | | Hyontai Sug:
Determining a Good Decision Attribute for Knowledge Discovery in Databases.
IC-AI 2004: 288-294 |
| 5 | EE | Hyontai Sug:
Reducing on the Number of Testing Items in the Branches of Decision Trees.
ICCSA (4) 2004: 158-166 |
| 4 | | Hyontai Sug:
A Discovery of Rules of Hierarch for Very Large Databases.
IKE 2004: 353-357 |
| 2003 |
|---|
| 3 | | Hyontai Sug:
An Empirical Study on Possibility of Improvement on Decision Trees for Large Databases.
IASSE 2003: 89-92 |
| 2 | | Hyontai Sug:
Comparison of Multidimensional Association Rules with Decision Trees for Large Database.
IC-AI 2003: 121-126 |
| 1 | | Hyontai Sug:
Generating Smaller Decision Trees for Understandability Using Frequent Attributes.
IKE 2003: 142-148 |
