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Subgroup discovery

delete2015-01-28
delete172
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Martin Atzmueller *
DOI：10.1002/widm.1144delete
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Abstract

Abstract

En 中文
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.
Keywords:
ALGORITHM
PATTERN
KNOWLEDGE
RULES
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery cover
Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
IF:
11.7
Papers:
532
Citations:
5.3K

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