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.
Originalspråk | engelska |
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Titel på värdpublikation | Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II |
Redaktörer | Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski |
Antal sidor | 17 |
Utgivningsort | Cham |
Förlag | Springer International Publishing AG |
Utgivningsdatum | 30 dec. 2017 |
Sidor | 425-441 |
ISBN (tryckt) | 978-3-319-71245-1 |
ISBN (elektroniskt) | 978-3-319-71246-8 |
DOI | |
Status | Publicerad - 30 dec. 2017 |
MoE-publikationstyp | A4 Artikel i en konferenspublikation |
Evenemang | European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - Skopje, Makedonien Varaktighet: 18 sep. 2017 → 22 sep. 2017 http://ecmlpkdd2017.ijs.si |
Publikationsserier
Namn | Lecture Notes in Artificial Intelligence |
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Förlag | Springer International Publishing AG |
Volym | 10535 |
ISSN (tryckt) | 0302-9743 |
ISSN (elektroniskt) | 1611-3349 |
Vetenskapsgrenar
- 113 Data- och informationsvetenskap