Explaining Deviating Subsets Through Explanation Networks

Antti Ukkonen; Vladimir Dzyuba; Matthijs van Leeuwen

doi:10.1007/978-3-319-71246-8_26

Explaining Deviating Subsets Through Explanation Networks

Antti Ukkonen, Vladimir Dzyuba, Matthijs van Leeuwen

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Abstrakti

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.

Alkuperäiskieli	englanti
Otsikko	Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II
Toimittajat	Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski
Sivumäärä	17
Julkaisupaikka	Cham
Kustantaja	Springer International Publishing AG
Julkaisupäivä	30 jouluk. 2017
Sivut	425-441
ISBN (painettu)	978-3-319-71245-1
ISBN (elektroninen)	978-3-319-71246-8
DOI - pysyväislinkit	https://doi.org/10.1007/978-3-319-71246-8_26
Tila	Julkaistu - 30 jouluk. 2017
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - Skopje, Makedonia Kesto: 18 syysk. 2017 → 22 syysk. 2017 http://ecmlpkdd2017.ijs.si

Julkaisusarja

Nimi	Lecture Notes in Artificial Intelligence
Kustantaja	Springer International Publishing AG
Vuosikerta	10535
ISSN (painettu)	0302-9743
ISSN (elektroninen)	1611-3349

Tieteenalat

113 Tietojenkäsittely- ja informaatiotieteet

Pääsy asiakirjaan

10.1007/978-3-319-71246-8_26

Siteeraa tätä

Ukkonen, A., Dzyuba, V., & van Leeuwen, M. (2017). Explaining Deviating Subsets Through Explanation Networks. teoksessa M. Ceci, J. Hollmén, L. Todorovski, C. Vens, & S. Dzeroski (Toimittajat), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II (Sivut 425-441). (Lecture Notes in Artificial Intelligence; Vuosikerta 10535). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-71246-8_26

Ukkonen, Antti ; Dzyuba, Vladimir ; van Leeuwen, Matthijs. / Explaining Deviating Subsets Through Explanation Networks. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II. Toimittaja / Michelangelo Ceci ; Jaakko Hollmén ; Ljupco Todorovski ; Celine Vens ; Saso Dzeroski. Cham : Springer International Publishing AG, 2017. Sivut 425-441 (Lecture Notes in Artificial Intelligence).

@inproceedings{56bc6dc651c4477080495216d067d09f,

title = "Explaining Deviating Subsets Through Explanation Networks",

abstract = "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.",

keywords = "113 Computer and information sciences",

author = "Antti Ukkonen and Vladimir Dzyuba and {van Leeuwen}, Matthijs",

year = "2017",

month = dec,

day = "30",

doi = "10.1007/978-3-319-71246-8_26",

language = "English",

isbn = "978-3-319-71245-1",

series = "Lecture Notes in Artificial Intelligence",

publisher = "Springer International Publishing AG",

pages = "425--441",

editor = "Michelangelo Ceci and Jaakko Hollm{\'e}n and Ljupco Todorovski and Celine Vens and Saso Dzeroski",

booktitle = "Machine Learning and Knowledge Discovery in Databases",

address = "Switzerland",

note = "European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD ; Conference date: 18-09-2017 Through 22-09-2017",

url = "http://ecmlpkdd2017.ijs.si",

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Ukkonen, A, Dzyuba, V & van Leeuwen, M 2017, Explaining Deviating Subsets Through Explanation Networks. julkaisussa M Ceci, J Hollmén, L Todorovski, C Vens & S Dzeroski (toim), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II. Lecture Notes in Artificial Intelligence, Vuosikerta 10535, Springer International Publishing AG, Cham, Sivut 425-441, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Skopje, Makedonia, 18/09/2017. https://doi.org/10.1007/978-3-319-71246-8_26

Explaining Deviating Subsets Through Explanation Networks. / Ukkonen, Antti; Dzyuba, Vladimir; van Leeuwen, Matthijs.
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II. toim. / Michelangelo Ceci; Jaakko Hollmén; Ljupco Todorovski; Celine Vens; Saso Dzeroski. Cham: Springer International Publishing AG, 2017. s. 425-441 (Lecture Notes in Artificial Intelligence; Vuosikerta 10535).

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

TY - GEN

T1 - Explaining Deviating Subsets Through Explanation Networks

AU - Ukkonen, Antti

AU - Dzyuba, Vladimir

AU - van Leeuwen, Matthijs

PY - 2017/12/30

Y1 - 2017/12/30

N2 - 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.

AB - 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.

KW - 113 Computer and information sciences

U2 - 10.1007/978-3-319-71246-8_26

DO - 10.1007/978-3-319-71246-8_26

M3 - Conference contribution

SN - 978-3-319-71245-1

T3 - Lecture Notes in Artificial Intelligence

SP - 425

EP - 441

BT - Machine Learning and Knowledge Discovery in Databases

A2 - Ceci, Michelangelo

A2 - Hollmén, Jaakko

A2 - Todorovski, Ljupco

A2 - Vens, Celine

A2 - Dzeroski, Saso

PB - Springer International Publishing AG

CY - Cham

T2 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases

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Ukkonen A, Dzyuba V, van Leeuwen M. Explaining Deviating Subsets Through Explanation Networks. julkaisussa Ceci M, Hollmén J, Todorovski L, Vens C, Dzeroski S, toimittajat, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II. Cham: Springer International Publishing AG. 2017. s. 425-441. (Lecture Notes in Artificial Intelligence). doi: 10.1007/978-3-319-71246-8_26