Skip to main content

Rough Sets

International Joint Conference, IJCRS 2024, Halifax, NS, Canada, May 17–20, 2024, Proceedings, Part II

  • Conference proceedings
  • © 2024

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.

  • 1750 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this book

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 74.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

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

Table of contents (21 papers)

  1. Three-Way Decision and Rough Sets

  2. Three-Way Decision in Data Analytics

  3. Three-Way Decision in Broad Senses

  4. Rental Market Data Mining

Other volumes

  1. Rough Sets

  2. Rough Sets

Editors and Affiliations

  • Saint Mary's University, halifax, Canada

    Mengjun Hu

  • Ghent University, Ghent, Belgium

    Chris Cornelis

  • California State University, San Bernardino, USA

    Yan Zhang

  • Saint Mary's University, Halifax, Canada

    Pawan Lingras

  • University of Warsaw, Warsaw, Poland

    Dominik Ślęzak

  • University of Regina, Regina, Canada

    JingTao Yao

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

Publish with us