Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11499)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: IJCRS 2019.
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Table of contents (41 papers)
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Core Rough Set Models and Methods
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Related Methods and Hybridization
Other volumes
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Rough Sets
Keywords
About this book
The 41 full papers were carefully reviewed and selected from 71 submissions. The IJCRS conferences aim at bringing together experts from universities and research centers as well as the industry representing fields of research in which theoretical and applicational aspects of rough set theory already find or may potentially find usage. The papers are grouped in topical sections on core rough set models and methods; related methods and hybridization; areas of application.
Editors and Affiliations
Bibliographic Information
Book Title: Rough Sets
Book Subtitle: International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17–21, 2019, Proceedings
Editors: Tamás Mihálydeák, Fan Min, Guoyin Wang, Mohua Banerjee, Ivo Düntsch, Zbigniew Suraj, Davide Ciucci
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-22815-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-22814-9Published: 09 June 2019
eBook ISBN: 978-3-030-22815-6Published: 10 June 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXII, 550
Number of Illustrations: 184 b/w illustrations, 55 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Arithmetic and Logic Structures