A Framework For Knowledge Discovery in Multivalued Tables Using Rough Set Approach(Artificial Intelligence III)

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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.

• 一般社団法人情報処理学会の論文
• 2004-12-04

著者

• Hieu Nguyen

  Faculty Of Information Technology Vinh University

• Nguyen Thanh

  Faculty Of Land And Environment Hanoi Agricultural University

• Thuy Nguyen

  Faculty Of Information Technology Hanoi University Of Technology

• Nguyen Ngoc

  Faculty of Information Technology, Vinh University

関連論文

• A Nutrient Balance Analysis of the Sustainability of a Composite Swiddening Agroecosystem in Vietnam's Northern Mountain Region(Sustainable Agro-resources Management in the Mountainous Region of Mainland Southeast Asia)
• 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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