Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14481)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: IJCRS 2023.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (43 papers)
-
Rough Set Models
-
Foundations
-
Three-way Decisions
Other volumes
-
Rough Sets
Keywords
- artificial intelligence
- attribute reduction
- classification
- clustering algorithms
- computer systems
- computer vision
- data mining
- databases
- decision theory
- education
- fuzzy sets
- image processing
- information retrieval
- information systems
- learning
- machine learning
- rough set theory
- signal processing
- semantics
About this book
The 43 full papers included in this book were carefully reviewed and selected from 83 submissions. They were organized in topical sections as follows: Rough Set Models, Foundations, Three-way Decisions, Granular Models, Distances and Similarities, Hybrid Approaches, Applications, Cybersecurity and IoT.
Editors and Affiliations
Bibliographic Information
Book Title: Rough Sets
Book Subtitle: International Joint Conference, IJCRS 2023, Krakow, Poland, October 5–8, 2023, Proceedings
Editors: Andrea Campagner, Oliver Urs Lenz, Shuyin Xia, Dominik Ślęzak, Jarosław Wąs, JingTao Yao
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-50959-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-50958-2Published: 31 December 2023
eBook ISBN: 978-3-031-50959-9Published: 30 December 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: LIX, 644
Number of Illustrations: 52 b/w illustrations, 98 illustrations in colour
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Computer Applications