Premium
Subgroup discovery
Author(s) -
Atzmueller Martin
Publication year - 2015
Publication title -
wiley interdisciplinary reviews: data mining and knowledge discovery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.506
H-Index - 47
eISSN - 1942-4795
pISSN - 1942-4787
DOI - 10.1002/widm.1144
Subject(s) - property (philosophy) , context (archaeology) , computer science , data science , knowledge extraction , subgroup analysis , information retrieval , data mining , medicine , geography , epistemology , meta analysis , philosophy , archaeology
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 This article is categorized under: Fundamental Concepts of Data and Knowledge > Motivation and Emergence of Data Mining