Rough Sets

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International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17-20,2024, Proceedings, Part II, Lecture Notes in Computer Science 14840 – Lecture Notes in Artificial Intelligence

ISBN: 3031656679
ISBN 13: 9783031656675
Herausgeber: Mengjun Hu/Chris Cornelis/Yan Zhang et al
Verlag: Springer Verlag GmbH
Umfang: xxi, 326 S., 20 s/w Illustr., 64 farbige Illustr., 326 p. 84 illus., 64 illus. in color.
Erscheinungsdatum: 25.07.2024
Auflage: 1/2024
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 3822720 Kategorie:

Beschreibung

This two-volume set LNAI 14839-14840 constitutes the refereed proceedings of the International Joint Conference on Rough Sets, IJCRS 2024, held in Halifax, NS, Canada, during May 17-20, 2024. The 43 full papers included in this book were carefully reviewed and selected from 56 submissions. They are organized in topical sections as follows:  Part I: Rough Set Models and Foundations; Rule Induction and Machine Learning; Granular Computing; and Rough Set Applications. part II: Three-Way Decision and Rough Sets; Three-Way Decision in Data Analytics; Three-Way Decision in Broad Senses; Rental Market Data Mining; and Applications of Deep Learning and Soft Computing.

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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