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Hyontai Sug: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Hyontai Sug
    A Comprehensively Sized Decision Tree Generation Method for Interactive Data Mining of Very Large Databases. [Citation Graph (0, 0)][DBLP]
    ADMA, 2005, pp:141-148 [Conf]
  2. Hyontai Sug
    Class Selection Avoiding Key-like Property for Better Precise Rules. [Citation Graph (0, 0)][DBLP]
    DMIN, 2006, pp:372-375 [Conf]
  3. Hyontai Sug
    An Empirical Study on Possibility of Improvement on Decision Trees for Large Databases. [Citation Graph (0, 0)][DBLP]
    IASSE, 2003, pp:89-92 [Conf]
  4. Hyontai Sug
    Comparison of Multidimensional Association Rules with Decision Trees for Large Database. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2003, pp:121-126 [Conf]
  5. Hyontai Sug
    Determining a Good Decision Attribute for Knowledge Discovery in Databases. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2004, pp:288-294 [Conf]
  6. Hyontai Sug
    Applying Rapid Knowledge Model in Finding Categorical. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2005, pp:327-332 [Conf]
  7. Hyontai Sug
    Generating Decision Trees with Boughs. [Citation Graph (0, 0)][DBLP]
    IC-AI, 2006, pp:545-550 [Conf]
  8. Hyontai Sug
    Reducing on the Number of Testing Items in the Branches of Decision Trees. [Citation Graph (0, 0)][DBLP]
    ICCSA (4), 2004, pp:158-166 [Conf]
  9. Hyontai Sug
    Generating Smaller Decision Trees for Understandability Using Frequent Attributes. [Citation Graph (0, 0)][DBLP]
    IKE, 2003, pp:142-148 [Conf]
  10. Hyontai Sug
    A Discovery of Rules of Hierarch for Very Large Databases. [Citation Graph (0, 0)][DBLP]
    IKE, 2004, pp:353-357 [Conf]
  11. Hyontai Sug
    Using Reliable Short Rules to Avoid Unnecessary Tests in Decision Trees. [Citation Graph (0, 0)][DBLP]
    MICAI, 2006, pp:604-611 [Conf]

  12. Finding More Interesting Rules with Decision Trees fo Very Large Databases. [Citation Graph (, )][DBLP]

  13. Finding Association Rules in Large Relations for Possible Normalization. [Citation Graph (, )][DBLP]

  14. Discovering Rules about Customer Behavior for Logistics using RFID Tags. [Citation Graph (, )][DBLP]

  15. Sampling scheme for better RBF network. [Citation Graph (, )][DBLP]

  16. Finding Hidden Functional Dependencies in Relations Efficiently. [Citation Graph (, )][DBLP]

  17. A Structural Sampling Technique for Better Decision Trees. [Citation Graph (, )][DBLP]

  18. An empirical improvement of the accuracy of RBF networks. [Citation Graph (, )][DBLP]

  19. Applying Rough Sets to Maintain Data Consistency for High Degree Relations. [Citation Graph (, )][DBLP]

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