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Rough Sets Fuzzy Sets Data Mining And Granular Computing 12th International Conference Rsfdgrc 2009 Delhi India December 1518 2009 Proceedings 1st Edition Ivo Dntsch

  • SKU: BELL-1708856
Rough Sets Fuzzy Sets Data Mining And Granular Computing 12th International Conference Rsfdgrc 2009 Delhi India December 1518 2009 Proceedings 1st Edition Ivo Dntsch
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Rough Sets Fuzzy Sets Data Mining And Granular Computing 12th International Conference Rsfdgrc 2009 Delhi India December 1518 2009 Proceedings 1st Edition Ivo Dntsch instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 9.59 MB
Pages: 528
Author: Ivo Düntsch, Günther Gediga, Adam Lenarcic (auth.), Hiroshi Sakai, Mihir Kumar Chakraborty, Aboul Ella Hassanien, Dominik Ślęzak, William Zhu (eds.)
ISBN: 9783642106453, 3642106455
Language: English
Year: 2009
Edition: 1

Product desciption

Rough Sets Fuzzy Sets Data Mining And Granular Computing 12th International Conference Rsfdgrc 2009 Delhi India December 1518 2009 Proceedings 1st Edition Ivo Dntsch by Ivo Düntsch, Günther Gediga, Adam Lenarcic (auth.), Hiroshi Sakai, Mihir Kumar Chakraborty, Aboul Ella Hassanien, Dominik Ślęzak, William Zhu (eds.) 9783642106453, 3642106455 instant download after payment.

This book constitutes the refereed proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2009, held in Delhi, India in December 2009 in conjunction with the Third International Conference on Pattern Recognition and Machine Intelligence, PReMI 2009. RSFDGrC 2009 is the core component of a broader Rough Set Year in India initiative, RSIndia09.

The 56 revised full papers presented together with 6 invited papers and a report on the Rough Set Year in India 2009 project were carefully reviewed and selected from a total of 130 submissions. The papers are organized in topical sections on foundations of rough sets and beyond; rought set algorithms and applications; fuzzy set foundations and applications; data mining and knowledge discovery; clustering and current trends in computing; and information retrieval and text mining.

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