Sang-Wook Han

Publications (3)0 Total impact

• Article: ROUGH SET-BASED DECISION TREE USING A CORE ATTRIBUTE

  SANG-WOOK HAN, JAE-YEARN KIM
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  ABSTRACT: Decision trees are widely used in machine learning and artificial intelligence. In this paper, we extend previous research and present a new decision tree classification algorithm that uses a rough set theory to produce classification rules. Our algorithm is based on core attributes and on comparing the values of attributes between objects. Our experiments compared the performance of the Iterative Dichotomiser 3 (ID3) algorithm, C4.5, and the proposed decision tree algorithm to demonstrate its accuracy and ability to simplify rules.
  International Journal of Information Technology & Decision Making (IJITDM). 01/2008; 07(02):275-290.
• Conference Proceeding: Rough Set-based Decision Tree using the Core Attributes Concept

  Sang Wook Han, Jae-Yearn Kim
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  ABSTRACT: Decision trees are widely used in machine learning and artificial intelligence. The Iterative Dichotomiser 3 (ID3) is one of the most well known of the many decision tree induction algorithms. We extended previous research and present a new decision tree classification algorithm that uses a rough set theory that can induce classification rules. Our algorithm is based on core attributes and on comparing the values of attributes between objects. We experimentally compared the performance of the new decision tree algorithm using the rough set approach with that of the ID3 algorithm and show its accuracy and rule simplification.
  Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on; 10/2007
• Conference Proceeding: Rough Set-Based Decision Tree Construction Algorithm.

  Sang-Wook Han, Jae-Yearn Kim
  Computational Science and Its Applications - ICCSA 2007, International Conference, Kuala Lumpur, Malaysia, August 26-29, 2007. Proceedings, Part I; 01/2007