Lecture Notes in Artificial Intelligence

Rough Set and Knowledge Technology

6th International Conference, RSKT 2011, Banff, Canada, October 9-12, 2011, Proceedings

Editors: Yao, J., Ramanna, S., Wang, G., Suraj, Z. (Eds.)

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About this book

This book constitutes the refereed proceedings of the 6th International Conference on Rough Sets and Knowledge Technology, RSKT 2011, held in Banff, Canada, in September 2011.
The 89 revised full papers presented together with 3 keynote lectures and 1 invited tutorial session were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on attribute reduction and feature selection, generalized rough set models, machine learning with rough and hybrid techniques, knowledge technology and intelligent systems and applications.

Table of contents (95 chapters)

  • Mining Incomplete Data—A Rough Set Approach

    Grzymała-Busse, Jerzy W.

    Pages 1-7

  • Uncertainty and Feature Selection in Rough Set Theory

    Liang, Jiye

    Pages 8-15

  • Towards Designing Human Centric Systems: A New View at System Modeling with Granular Membership Grades

    Pedrycz, Witold

    Pages 16-16

  • Sufficiently Near Sets of Neighbourhoods

    Peters, James F.

    Pages 17-24

  • History of Set Theory and Its Extensions in the Context of Soft Computing

    Nimse, Sarjerao (et al.)

    Pages 25-25

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-3-642-24425-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $139.00
price for USA
  • ISBN 978-3-642-24424-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Rough Set and Knowledge Technology
Book Subtitle
6th International Conference, RSKT 2011, Banff, Canada, October 9-12, 2011, Proceedings
Editors
  • JingTao Yao
  • Sheela Ramanna
  • Guoyin Wang
  • Zbigniew Suraj
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
6954
Copyright
2011
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag GmbH Berlin Heidelberg
eBook ISBN
978-3-642-24425-4
DOI
10.1007/978-3-642-24425-4
Softcover ISBN
978-3-642-24424-7
Edition Number
1
Number of Pages
XVIII, 771
Topics