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
收藏
页码：66 / 71
页数：6
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