Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12179)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: IJCRS 2020.
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About this book
The 37 full papers accepted were carefully reviewed and selected from 50 submissions. The papers are grouped in the following topical sections: general rough sets; three-way decision theory; attribute reduction; granular computing; formal concept analysis; data summarization; community detection; fuzzy cognitive maps; tutorials.
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Keywords
- artificial intelligence
- attribute reduction
- computer networks
- computer systems
- correlation analysis
- data mining
- databases
- decision tables
- decision theory
- fuzzy logic
- fuzzy sets
- graph theory
- information systems
- knowledge reduction
- machine learning
- network protocols
- rough set theory
- signal detection
- signal processing
- theoretical computer science
Table of contents (37 papers)
Other volumes
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Rough Sets
Editors and Affiliations
Bibliographic Information
Book Title: Rough Sets
Book Subtitle: International Joint Conference, IJCRS 2020, Havana, Cuba, June 29 – July 3, 2020, Proceedings
Editors: Rafael Bello, Duoqian Miao, Rafael Falcon, Michinori Nakata, Alejandro Rosete, Davide Ciucci
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-52705-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-52704-4Published: 29 June 2020
eBook ISBN: 978-3-030-52705-1Published: 07 July 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 520
Number of Illustrations: 164 b/w illustrations, 38 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Computer Applications, Theory of Computation, Information Systems Applications (incl. Internet)