A Heuristic Knowledge Reduction Algorithm Based on Partition Subdivision and Consistent Degree

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原文链接

NETL

外文摘要：In this paper， a new knowledge reduction definition based on partition subdivision is proposed， its equivalence to the classic attribute reduction definition based on positive region is proved， and a consistent degree is introduced to evaluate the importance of condition attribute for decision attribute。 Based on the above results， a heuristic knowledge reduction algorithm is designed。

外文关键词：

data miningknowledge reductionrough setdecision tablepositive regionpartition subdivisionconsistent degree

作者：

Wen Huo、Xiaoguang Hong

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作者单位：

International Federation for Information Processing(IFIP)

IFIP 288

会议名称：

IFIP(International Federation for Information Processing) TC12 International Conference on Intelligent Information Processing

会议地点：

Beijing(CN)

会议母体文献：

Intelligent Information Processing IV

页码：

P.109-117

出版时间：

2008