Rough Sets: International Joint Conference, IJCRS 2018, Quy Nhon, Vietnam, August 20-24, 2018, Proceedings | SpringerLink
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Rough Sets

International Joint Conference, IJCRS 2018, Quy Nhon, Vietnam, August 20-24, 2018, Proceedings

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Hung Son Nguyen

    1. University of Warsaw, Warsaw, Poland

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  2. Quang-Thuy Ha

    1. Faculty of Information Technology, Vietnam National University, Hanoi, Vietnam

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  3. Tianrui Li

    1. School of Information Science, Southwest Jiaotong University, Chengdu, China

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  4. Małgorzata Przybyła-Kasperek

    1. Institute of Computer Science, University of Silesia, Sosnowiec, Poland

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11103)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: IJCRS 2018.

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About this book

This  LNAI 1103 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2018, held in Quy Nhon, Vietnam, in August 2018.

The 40 full papers presented together with 5 short papers were carefully reviewed and selected from 61 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.

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Table of contents (50 papers)

  1. Front Matter

    Pages I-XVIII
    Download chapter PDF

  2. Subjective Analysis of Price Herd Using Dominance Rough Set Induction: Case Study of Solar Companies

    • Hamido Fujita, Yu-Chien Ko
    Pages 1-12

  3. Three-Way Decisions and Three-Way Clustering

    • Hong Yu
    Pages 13-28

  4. Some Foundational Aspects of Rough Sets Rendering Its Wide Applicability

    • Andrzej Skowron, Soma Dutta
    Pages 29-45

  5. What’s in a Relation? Logical Structures of Modes of Granulation

    • Piero Pagliani
    Pages 46-60

  6. Multi-granularity Attribute Reduction

    • Shaochen Liang, Keyu Liu, Xiangjian Chen, Pingxin Wang, Xibei Yang
    Pages 61-72

  7. Tolerance Methods in Graph Clustering: Application to Community Detection in Social Networks

    • Vahid Kardan, Sheela Ramanna
    Pages 73-87

  8. Similarity Based Rough Sets with Annotation

    • Dávid Nagy, Tamás Mihálydeák, László Aszalós
    Pages 88-100

  9. Multidimensional Data Analysis for Evaluating the Natural and Anthropogenic Safety (in the Case of Krasnoyarsk Territory)

    • Tatiana Penkova
    Pages 101-109

  10. A Metaphor for Rough Set Theory: Modular Arithmetic

    • Marcin Wolski, Anna Gomolińska
    Pages 110-122

  11. A Method for Boundary Processing in Three-Way Decisions Based on Hierarchical Feature Representation

    • Jie Chen, Yang Xu, Shu Zhao, Yuanting Yan, Yanping Zhang, Weiwei Li et al.
    Pages 123-136

  12. Covering-Based Optimistic-Pessimistic Multigranulation Decision-Theoretic Rough Sets

    • Caihui Liu, Jin Qian, Nan Zhang, Meizhi Wang
    Pages 137-147

  13. Studies on CART’s Performance in Rule Induction and Comparisons by STRIM

    • Yuichi Kato, Shoya Kawaguchi, Tetsuro Saeki
    Pages 148-161

  14. Rseslib 3: Open Source Library of Rough Set and Machine Learning Methods

    • Arkadiusz Wojna, Rafał Latkowski
    Pages 162-176

  15. Composite Sequential Three-Way Decisions

    • Xin Yang, Ning Wang, Tianrui Li, Dun Liu, Chuan Luo
    Pages 177-186

  16. NDER Attribute Reduction via an Ensemble Approach

    • Huixiang Wen, Appiahmantey Eric, Xiangjian Chen, Keyu Liu, Pingxin Wang
    Pages 187-201

  17. Considerations on Rule Induction Methods by the Conventional Rough Set Theory from a View of STRIM

    • Tetsuro Saeki, Jiwei Fei, Yuichi Kato
    Pages 202-214

  18. Multi-label Online Streaming Feature Selection Based on Spectral Granulation and Mutual Information

    • Huaming Wang, Dongming Yu, Yuan Li, Zhixing Li, Guoyin Wang
    Pages 215-228

  19. Bipolar Queries with Dialogue: Rough Set Semantics

    • Soma Dutta, Andrzej Skowron
    Pages 229-242

  20. Approximation by Filter Functions

    • Ivo Düntsch, Günther Gediga, Hui Wang
    Pages 243-256
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Other volumes

  1. Rough Sets

Editors and Affiliations

  • University of Warsaw, Warsaw, Poland

    Hung Son Nguyen

  • Faculty of Information Technology, Vietnam National University, Hanoi, Vietnam

    Quang-Thuy Ha

  • School of Information Science, Southwest Jiaotong University, Chengdu, China

    Tianrui Li

  • Institute of Computer Science, University of Silesia, Sosnowiec, Poland

    Małgorzata Przybyła-Kasperek

Bibliographic Information

  • Book Title: Rough Sets

  • Book Subtitle: International Joint Conference, IJCRS 2018, Quy Nhon, Vietnam, August 20-24, 2018, Proceedings

  • Editors: Hung Son Nguyen, Quang-Thuy Ha, Tianrui Li, Małgorzata Przybyła-Kasperek

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-99368-3

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2018

  • Softcover ISBN: 978-3-319-99367-6Published: 15 August 2018

  • eBook ISBN: 978-3-319-99368-3Published: 14 August 2018

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVIII, 660

  • Number of Illustrations: 71 b/w illustrations

  • Topics: Data Mining and Knowledge Discovery, Mathematical Logic and Formal Languages

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