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.
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页码：275 / 282
页数：8
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