Exception rules mining based on negative association rules

被引：0

作者：

Daly, O ^{[1
]}

Taniar, D ^{[1
]}

机构：

[1] Monash Univ, Sch Business Syst, Clayton, Vic 3800, Australia

来源：

COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2004, PT 4 | 2004年 / 3046卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Exception rules have been previously defined as rules with low interest and high confidence. In this paper a new approach to mine exception rules will be proposed and evaluated. Interconnection between exception and negative association rules will be considered. Based on the knowledge about negative association rules in the database, the candidate exception rules will be generated. A novel exceptionality measure will be proposed to evaluate the candidate exception rules. The candidate exceptions with high exceptionality will form the final set of exception rules. Algorithms for mining exception rules will be developed and evaluated.

引用

页码：543 / 552

页数：10

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