Explaining Deviating Subsets Through Explanation Networks

Antti Ukkonen, Vladimir Dzyuba, Matthijs van Leeuwen

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review

Sammanfattning

We propose a novel approach to finding explanations of deviating subsets, often called subgroups. Existing approaches for subgroup discovery rely on various quality measures that nonetheless often fail to find subgroup sets that are diverse, of high quality, and most importantly, provide good explanations of the deviations that occur in the data.
Originalspråkengelska
Titel på värdpublikationMachine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II
RedaktörerMichelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski
Antal sidor17
UtgivningsortCham
FörlagSpringer International Publishing AG
Utgivningsdatum30 dec. 2017
Sidor425-441
ISBN (tryckt)978-3-319-71245-1
ISBN (elektroniskt)978-3-319-71246-8
DOI
StatusPublicerad - 30 dec. 2017
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - Skopje, Makedonien
Varaktighet: 18 sep. 201722 sep. 2017
http://ecmlpkdd2017.ijs.si

Publikationsserier

NamnLecture Notes in Artificial Intelligence
FörlagSpringer International Publishing AG
Volym10535
ISSN (tryckt)0302-9743
ISSN (elektroniskt)1611-3349

Vetenskapsgrenar

  • 113 Data- och informationsvetenskap

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