A Fuzzy Rule Mining Approach involving Absent Items

被引：0
|
作者：
Delgado, M.
Ruiz, M. D.
Sanchez, D.
Serrano, J. M.
机构：
来源：
PROCEEDINGS OF THE 7TH CONFERENCE OF THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY (EUSFLAT-2011) AND LFA-2011 | 2011年
关键词：
Data mining; Fuzzy association rules; absence of items; negative rules; ASSOCIATION RULES;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we present how to extract fuzzy association rules involving both the presence and the absence of items using a fuzzy rule mining procedure introduced by the authors in previous works. The rule mining procedure is based on the GUHA logical model, fuzzified via a recently proposed representation of gradualness. We present some results obtained with real datasets.
引用
收藏
页码：275 / 282
页数：8
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