Lecture Notes in Artificial Intelligence

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 2, 2005, Proceedings, Part II

Editors: Slezak, D., Yao, J., Peters, J.F., Ziarko, W., Hu, X. (Eds.)

Buy this book

eBook 107,09 €
price for Spain (gross)
  • ISBN 978-3-540-31824-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 135,19 €
price for Spain (gross)
  • ISBN 978-3-540-28660-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This volume contains the papers selected for presentation at the 10th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status of biennial international conference, starting from 2003 in Chongqing, China. The theory of rough sets, proposed by Zdzis law Pawlak in 1982, is a model of approximate reasoning. The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signi?cant results in many areas such as ?nance, industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications. In the case of this event, additional e?ort was made to establish a linkage towards a broader range of applications. We achieved it by including in the conference program the workshops on bioinformatics, security engineering, and embedded systems, as well as tutorials and sessions related to other application areas.

Table of contents (77 chapters)

  • Generalizing Rough Set Theory Through Dominance-Based Rough Set Approach

    Greco, Salvatore (et al.)

    Pages 1-11

    Preview Buy Chapter 30,19 €
  • Approximate Boolean Reasoning Approach to Rough Sets and Data Mining

    Nguyen, Hung Son

    Pages 12-22

    Preview Buy Chapter 30,19 €
  • Towards Human-Level Web Intelligence

    Zhong, Ning

    Pages 23-28

    Preview Buy Chapter 30,19 €
  • Credibility Coefficients in ARES Rough Set Exploration System

    Podraza, Roman (et al.)

    Pages 29-38

    Preview Buy Chapter 30,19 €
  • DIXER – Distributed Executor for Rough Set Exploration System

    Bazan, Jan G. (et al.)

    Pages 39-47

    Preview Buy Chapter 30,19 €

Buy this book

eBook 107,09 €
price for Spain (gross)
  • ISBN 978-3-540-31824-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 135,19 €
price for Spain (gross)
  • ISBN 978-3-540-28660-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
Book Subtitle
10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 2, 2005, Proceedings, Part II
Editors
  • Dominik Slezak
  • JingTao Yao
  • James F. Peters
  • Wojciech Ziarko
  • Xiaohua Hu
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
3642
Copyright
2005
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
The Editor(s) (if applicable) and The Author(s) 2018
eBook ISBN
978-3-540-31824-8
DOI
10.1007/11548706
Softcover ISBN
978-3-540-28660-8
Edition Number
1
Number of Pages
XXIV, 748
Topics