Rough Sets in Knowledge Discovery and Data Mining (特集:ラフ集合の理論と応用)

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概要

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• Rough set theory constitutes a sound basis for KDD (Knowledge Discovery and Data Mining) to deal with real world problems systematically. In the paper, we investigate several rough sets based hybrid systems that can be used in a multi-phase KDD process to discover patterns hidden in data in many aspects. We also outline the latest researches and give future directions.

• 2001-12-15

著者

• 鍾 寧

  前橋工科大学大学院工学研究科システム情報工学専攻

• 鍾 寧

  Department Of Information Engineering Maebashi Institute Of Technology

• ZHONG Ning

  Department of Information Engineering, Maebashi Institute of Technology

• Zhong Ning

  Department Of Information Engineering

• Zhong Ning

  Department Of Computer Science And Systems Engineering Faculty Of Engineering Yamaguchi University

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