Rough Sets and Intelligent Systems Paradigms

Second International Conference, RSEISP 2014, Held as Part of JRS 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings

  • Marzena Kryszkiewicz
  • Chris Cornelis
  • Davide Ciucci
  • Jesús Medina-Moreno
  • Hiroshi Motoda
  • Zbigniew W. Raś
Conference proceedings RSEISP 2014
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8537)

Table of contents

  1. Front Matter
  2. Plenary Lecture and Tutorial Papers

  3. Foundations of Rough Set Theory

    1. Zoltán Ernő Csajbók, Tamás Mihálydeák
      Pages 42-52
    2. Andrzej Janusz, Dominik Ślęzak
      Pages 53-64
    3. Sinh Hoa Nguyen, Hung Son Nguyen
      Pages 65-76
    4. Roman Słowiński, Miłosz Kadziński, Salvatore Greco
      Pages 77-87
    5. Guoyin Wang, Xi’ao Ma, Hong Yu
      Pages 88-98
    6. Sebastian Widz, Dominik Ślęzak
      Pages 99-110
    7. Yiyu Yao, Mengjun Hu
      Pages 111-122
  4. Granular Computing and Covering-Based Rough Sets

    1. Andrzej Jankowski, Andrzej Skowron, Roman Swiniarski
      Pages 123-134
    2. Tong-Jun Li, Xing-Xing Zhao, Wei-Zhi Wu
      Pages 135-142
    3. Mauricio Restrepo, Jonatan Gómez
      Pages 143-152
  5. Applications of Rough Sets

    1. Jerzy Błaszczyński, Łukasz Pałkowski, Andrzej Skrzypczak, Jan Błaszczak, Alicja Nowaczyk, Roman Słowiński et al.
      Pages 153-160
    2. Deborah Galpert Cańizares, Reinier Millo Sánchez, María Matilde García Lorenzo, Gladys Casas Cardoso, Ricardo Grau Abalo, Leticia Arco García
      Pages 161-168
    3. Gonzalo Nápoles, Isel Grau, Koen Vanhoof, Rafael Bello
      Pages 169-178
  6. Induction of Decision Rules - Theory and Practice

    1. Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov
      Pages 191-197
    2. Yuichi Kato, Tetsuro Saeki, Shoutarou Mizuno
      Pages 198-208

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 23rd Australasian Joint Conference on Rough Sets and Intelligent Systems Paradigms, RSEISP 2014, held in Granada and Madrid, Spain, in July 2014. RSEISP 2014 was held along with the 9th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2014, as a major part of the 2014 Joint Rough Set Symposium, JRS 2014. JRS 2014 received 40 revised full papers and 37 revised short papers which were carefully reviewed and selected from 120 submissions and presented in two volumes. This volume contains the papers accepted for the conference RSEISP 2014, as well as the three invited papers presented at the conference. The papers are organized in topical sections on plenary lecture and tutorial papers; foundations of rough set theory; granular computing and covering-based rough sets; applications of rough sets; induction of decision rules - theory and practice; knowledge discovery; spatial data analysis and spatial databases; information extraction from images.

Keywords

SVM approximate dynamic programming methods artificial intelligence data mining decision analysis decision analysis feature selection hybrid systems neural networks reliability support vector machines virtual reality virtual reality visualization

Editors and affiliations

  • Marzena Kryszkiewicz
    • 1
  • Chris Cornelis
    • 2
  • Davide Ciucci
    • 3
  • Jesús Medina-Moreno
    • 4
  • Hiroshi Motoda
    • 5
  • Zbigniew W. Raś
    • 1
  1. 1.Institute of Computer ScienceWarsaw University of TechnologyWarsawPoland
  2. 2.Department of Computer Science and Artificial IntelligenceUniversity of GranadaGranadaSpain
  3. 3.DISCoUniversità di Milano – BicoccaMilanoItaly
  4. 4.Dpt. de MatemáticasUniversity of CàdizSpain
  5. 5.School of Computing and Information SystemsUniversity of TasmaniaJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-08729-0
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-08728-3
  • Online ISBN 978-3-319-08729-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book