日本ファジィ学会誌
Online ISSN : 2432-9932
Print ISSN : 0915-647X
ISSN-L : 0915-647X
Rough Sets in Knowledge Discovery and Data Mining(<特集>ラフ集合の理論と応用)
Ning ZHONG
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ジャーナル フリー

2001 年 13 巻 6 号 p. 581-591

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抄録
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.
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© 2001 Japan Society for Fuzzy Theory and Intelligent Informatics
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