Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing : 9th International Conference, Rsfdgrc 2003, Chongqing, China, May 26-29, 2003 : Proceedi

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing : 9th International Conference, Rsfdgrc 2003, Chongqing, China, May 26-29, 2003 : Proceedi

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  • 製本 Paperback:紙装版/ペーパーバック版／ページ数 741 p.
  • 言語 ENG
  • 商品コード 9783540140405
  • DDC分類 004

基本説明

Subseries: Lecture Notes in Artificial Intelligence.

Full Description

This volume contains the papers selected for presentation at the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2003) held at Chongqing University of Posts and Telecommunications, Chongqing, P.R. China, May 26-29, 2003. There were 245 submissions for RSFDGrC 2003 excluding for 2 invited keynote papers and 11 invited plenary papers. Apart from the 13 invited papers, 114 papers were accepted for RSFDGrC 2003 and were included in this volume. The acceptance rate was only 46.5%. These papers were divided into 39 regular oral presentation papers (each allotted 8 pages), 47 short oral presentation papers (each allotted 4 pages) and 28 poster presentation papers (each allotted 4 pages) on the basis of reviewer evaluations. Each paper was reviewed by three referees. The conference is a continuation and expansion of the International Workshops on Rough Set Theory and Applications. In particular, this was the ninth meeting in the series and the first international conference. The aim of RSFDGrC2003 was to bring together researchers from diverse fields of expertise in order to facilitate mutual understanding and cooperation and to help in cooperative work aimed at new hybrid paradigms. It is our great pleasure to dedicate this volume to Prof. Zdzislaw Pawlak, who first introduced the basic ideas and definitions of rough sets theory over 20 years ago.

Contents

Keynote Papers.- Plenary Papers.- Rough Sets Foundations and Methods.- Fuzzy Sets and Systems.- Granular Computing.- Neural Networks and Evolutionary Computing.- Data Mining, Machine Learning, and Pattern Recognition.- Logics and Reasoning.- Multi-agent Systems.- Web Intelligence and Intelligent Systems.