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Document type:
Konferenzbeitrag / Conference Paper
Title:
Multi-fair Capacitated Students-Topics Grouping Problem
Collection editors:
Kashima, Hisashi; Ide, Tsuyoshi; Peng, Wen-Chih
Title of conference publication:
Advances in Knowledge Discovery and Data Mining
Subtitle of conference publication:
27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023, Proceedings, Part I
Series title:
Lecture Notes in Computer Science, LNCS
Series volume:
13935
Conference title:
Pacific-Asia Conference on Knowledge Discovery and Data Mining (27., 2023, Osaka)
Venue:
Osaka, Japan
Year of conference:
2023
Date of conference beginning:
25.05.2023
Date of conference ending:
28.05.2023
Place of publication:
Cham, Switzerland
Publisher:
Springer
Year:
2023
Pages from - to:
507-519
Language:
Englisch
ISBN:
978-3-031-33373-6 ; 978-3-031-33374-3
Preprint URL:
Department:
Fakultät für Informatik
Institute:
INF 7 - Institut für Datensicherheit
Chair:
Ntoutsi, Eirini
Research Hub UniBw M:
FI CODE
Open Access yes or no?:
Ja / Yes
Type of OA license:
CC BY 4.0
Licence URL:
Miscellaneous:
Titel des Preprints: Multiple Fairness and Cardinality constraints for Students-Topics Grouping Problem
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