Fuzzy methods in machine learning and data mining: Status and prospects

被引：129
|
作者：
Hüllermeier, E [1 ]
机构：
[1] Univ Magdeburg, Fac Comp Sci, D-39106 Magdeburg, Germany
来源：
FUZZY SETS AND SYSTEMS | 2005年 / 156卷 / 03期
关键词：
machine learning; data mining; knowledge discovery;
D O I：
10.1016/j.fss.2005.05.036
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Over the past years, methods for the automated induction of models and the extraction of interesting patterns from empirical data have attracted considerable attention in the fuzzy set community. This paper briefly reviews some typical applications and highlights potential contributions that fuzzy set theory can make to machine learning, data mining, and related fields. The paper concludes with a critical consideration of recent developments and some suggestions for future research directions. (c) 2005 Elsevier B.V All rights reserved.
引用
收藏
页码：387 / 406
页数：20
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