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 it 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 future directions in order to show the advantages and benefits of subgroup discovery.
%0 Journal Article
%1 Atzmueller:15a
%A Atzmueller, Martin
%D 2015
%J WIREs: Data Mining and Knowledge Discovery
%K 2015 analysis data discovery exploratory itegpub mining myown review subgroup
%N 1
%P 35--49
%R 10.1002/widm.1144
%T Subgroup Discovery - Advanced Review
%U https://www.kde.cs.uni-kassel.de/atzmueller/paper/atzmueller-subgroup-discovery-advanced-review-wires-2015.pdf
%V 5
%X 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 it 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 future directions in order to show the advantages and benefits of subgroup discovery.
@article{Atzmueller:15a,
abstract = {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 it 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 future directions in order to show the advantages and benefits of subgroup discovery.},
added-at = {2015-01-29T09:55:22.000+0100},
author = {Atzmueller, Martin},
biburl = {https://www.bibsonomy.org/bibtex/2717e0495131111ba6e9ecd63d55c308c/atzmueller},
doi = {10.1002/widm.1144},
interhash = {856b922250694bc72e5e4d1bed21409e},
intrahash = {717e0495131111ba6e9ecd63d55c308c},
journal = {WIREs: Data Mining and Knowledge Discovery},
keywords = {2015 analysis data discovery exploratory itegpub mining myown review subgroup},
number = 1,
pages = {35--49},
timestamp = {2015-08-03T20:20:50.000+0200},
title = {{Subgroup Discovery - Advanced Review}},
url = {https://www.kde.cs.uni-kassel.de/atzmueller/paper/atzmueller-subgroup-discovery-advanced-review-wires-2015.pdf},
volume = 5,
year = 2015
}