Mining Approximative Descriptions of Sets Using Rough Sets

被引：0

作者：

Simovici, Dan A. ^{[1
]}

Mimaroglu, Selim ^{[1
]}

机构：

[1] Univ Massachusetts, Dept Comp Sci, Boston, MA 02125 USA

来源：

ISMVL: 2009 39TH IEEE INTERNATIONAL SYMPOSIUM ON MULTIPLE-VALUED LOGIC | 2009年

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Using concepts from rough set theory we investigate the existence of approximative descriptions of collections of objects that can be extracted from in data set, a problem of interest for biologists that need to find succinct descriptions of families of taxonomic units. Our algorithm is based on an anti-monotonicity of borders of object set and makes use of an approach that is, in a certain sense, a dual of the Apriori algorithm used in identifying frequent item sets.

引用

页码：66 / 71

页数：6

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