Subgroup discovery

被引:171
作者
Atzmueller, Martin [1 ]
机构
[1] Univ Kassel, Knowledge & Data Engn Grp, D-34125 Kassel, Germany
关键词
ALGORITHM; PATTERN; KNOWLEDGE; RULES; SD; SET;
D O I
10.1002/widm.1144
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Subgroup discovery is a broadly applicable descriptive data mining technique for identifying interesting subgroups according to some property of interest. This article summarizes fundamentals of subgroup discovery, before that it also reviews algorithms and further advanced methodological issues. In addition, we briefly discuss tools and applications of subgroup discovery approaches. In that context, we also discuss experiences and lessons learned and outline some of the future directions in order to show the advantages and benefits of subgroup discovery. WIREs Data Mining Knowl Discov 2015, 5:35-49. doi: 10.1002/widm.1144 For further resources related to this article, please visit the . Conflict of interest: The author has declared no conflicts of interest for this article.
引用
收藏
页码:35 / 49
页数:15
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