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100   $a20121227d2003      u|         0
101 0 $aeng
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183   $acr
200 10$aRough Sets, Fuzzy Sets, Data Mining, and Granular Computing $e9th International Conference, RSFDGrC 2003, Chongqing, China, May 26-29, 2003, Proceedings /$fedited by Guoyin Wang, Qing Liu, Yiyu Yao
205   $a1st ed. 2003.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2003.
215   $a1 online resource (XVIII, 746 p.)
225 1 $aLecture Notes in Artificial Intelligence ;$v2639
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-540-14040-9 
320   $aIncludes bibliographical references at the end of each chapters and index.
327   $aKeynote 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.
330   $aThis volume contains the papers selected for presentation at the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2003) held at Chongqing University of Posts and Telecommunications, Chongqing, P.R. China, May 26?29, 2003. There were 245 submissions for RSFDGrC 2003 excluding for 2 invited keynote papers and 11 invited plenary papers. Apart from the 13 invited papers, 114 papers were accepted for RSFDGrC 2003 and were included in this volume. The acceptance rate was only 46.5%. These papers were divided into 39 regular oral presentation papers (each allotted 8 pages), 47 short oral presentation papers (each allotted 4 pages) and 28 poster presentation papers (each allotted 4 pages) on the basis of reviewer evaluations. Each paper was reviewed by three referees. The conference is a continuation and expansion of the International Workshops on Rough Set Theory and Applications. In particular, this was the ninth meeting in the series and the first international conference. The aim of RSFDGrC2003 was to bring together researchers from diverse fields of expertise in order to facilitate mutual understanding and cooperation and to help in cooperative work aimed at new hybrid paradigms. It is our great pleasure to dedicate this volume to Prof. Zdzislaw Pawlak, who first introduced the basic ideas and definitions of rough sets theory over 20 years ago.
410  0$aLecture Notes in Artificial Intelligence ;$v2639
606   $aArtificial intelligence
606   $aComputers
606   $aLogic, Symbolic and mathematical
606   $aDatabase management
606   $aInformation storage and retrieval
606   $aPattern perception
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013
606   $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048
606   $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024
606   $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032
606   $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
615  0$aArtificial intelligence.
615  0$aComputers.
615  0$aLogic, Symbolic and mathematical.
615  0$aDatabase management.
615  0$aInformation storage and retrieval.
615  0$aPattern perception.
615 14$aArtificial Intelligence.
615 24$aComputation by Abstract Devices.
615 24$aMathematical Logic and Formal Languages.
615 24$aDatabase Management.
615 24$aInformation Storage and Retrieval.
615 24$aPattern Recognition.
676   $a004
702   $aWang$b Guoyin$f1970-$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aLiu$b Qing$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aYao$b Yiyu$4edt$4http://id.loc.gov/vocabulary/relators/edt
712 12$aRSFDGrC 2003
906   $aBOOK
912   $a9910143854903321
996   $aRough Sets, Fuzzy Sets, Data Mining and Granular Computing$9772384
997   $aUNINA