Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14840)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: IJCRS 2024.
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About this book
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.
Keywords
- rough sets
- fuzzy rough sets
- fuzzy sets
- three-way decision
- deep learning
- granular computing
- formal concept analysis
- approximate reasoning
- knowledge discovery
- knowledge representation and reasoning
- data science
- decision support systems
- big data analytics
- machine learning approaches
- data mining
- intelligent systems
- clustering
- decision analysis
- information systems
- applied computing
Table of contents (21 papers)
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Three-Way Decision and Rough Sets
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Three-Way Decision in Data Analytics
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Three-Way Decision in Broad Senses
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Rental Market Data Mining
Other volumes
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Rough Sets
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Rough Sets
Editors and Affiliations
Bibliographic Information
Book Title: Rough Sets
Book Subtitle: International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17–20, 2024, Proceedings, Part II
Editors: Mengjun Hu, Chris Cornelis, Yan Zhang, Pawan Lingras, Dominik Ślęzak, JingTao Yao
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-65668-2
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 2024
Softcover ISBN: 978-3-031-65667-5Published: 25 July 2024
eBook ISBN: 978-3-031-65668-2Published: 24 July 2024
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXI, 326
Number of Illustrations: 20 b/w illustrations, 64 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Computer Applications, Artificial Intelligence