A Framework For Knowledge Discovery in Multivalued Tables Using Rough Set Approach(Artificial Intelligence III)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)

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概要

• 論文の詳細を見る

• In data mining area, researchers have proposed methods to discover decision rules that are based on rough set approach. Most of these methods do not have ability to handle multivalued information systems, though this type of information systems appears frequently in practical problems. In this paper, we propose an approach based on rough set to handle multivalued information systems. With the model designed from this approach, we propose two algorithms to discover minimal decision rules from multivalued information systems. In addition, we make a comparison between this method and other classical ones.

• 社団法人電子情報通信学会の論文
• 2004-11-30

著者

• Hieu Nguyen

  Faculty Of Information Technology Vinh University

• Thuy Nguyen

  Faculty Of Information Technology Hanoi University Of Technology

関連論文

• A Framework For Knowledge Discovery in Multivalued Tables Using Rough Set Approach(Artificial Intelligence III)
• A Framework For Knowledge Discovery in Multivalued Tables Using Rough Set Approach(Artificial Intelligence III)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)

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