Rule optimizing technique motivated by human concept formation

被引：0

作者：

Hadzic, Fedja ^{[1
]}

Dillon, Tharam S. ^{[1
]}

机构：

[1] Curtin Univ Technol, DEBII, Perth, WA 6845, Australia

来源：

BIOSIGNALS 2008: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING, VOL II | 2008年

关键词：

data mining; rule optimization; feature selection;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this paper we present a rule optimizing technique motivated by the psychological studies of human concept learning. The technique allows for reasoning to happen at both higher levels of abstraction and lower level of detail in order to optimize the rule set. Information stored at the higher level allows for optimizing processes such as rule splitting, merging and deleting, while the information stored at the lower level allows for determining the attribute relevance for a particular rule.

引用

页码：31 / 36

页数：6

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