05074nam 22007935 450 991014385490332120240112140922.03-540-39205-X10.1007/3-540-39205-X(CKB)1000000000212050(SSID)ssj0000326417(PQKBManifestationID)11268660(PQKBTitleCode)TC0000326417(PQKBWorkID)10296700(PQKB)11130413(DE-He213)978-3-540-39205-7(MiAaPQ)EBC3071882(PPN)155172506(EXLCZ)99100000000021205020121227d2003 u| 0engurnn#008mamaatxtccrRough Sets, Fuzzy Sets, Data Mining, and Granular Computing 9th International Conference, RSFDGrC 2003, Chongqing, China, May 26-29, 2003, Proceedings /edited by Guoyin Wang, Qing Liu, Yiyu Yao1st ed. 2003.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2003.1 online resource (XVIII, 746 p.)Lecture Notes in Artificial Intelligence ;2639Bibliographic Level Mode of Issuance: Monograph3-540-14040-9 Includes bibliographical references at the end of each chapters and index.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.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.Lecture Notes in Artificial Intelligence ;2639Artificial intelligenceComputersLogic, Symbolic and mathematicalDatabase managementInformation storage and retrievalPattern perceptionArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computation by Abstract Deviceshttps://scigraph.springernature.com/ontologies/product-market-codes/I16013Mathematical Logic and Formal Languageshttps://scigraph.springernature.com/ontologies/product-market-codes/I16048Database Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XArtificial intelligence.Computers.Logic, Symbolic and mathematical.Database management.Information storage and retrieval.Pattern perception.Artificial Intelligence.Computation by Abstract Devices.Mathematical Logic and Formal Languages.Database Management.Information Storage and Retrieval.Pattern Recognition.004Wang Guoyin1970-edthttp://id.loc.gov/vocabulary/relators/edtLiu Qingedthttp://id.loc.gov/vocabulary/relators/edtYao Yiyuedthttp://id.loc.gov/vocabulary/relators/edtRSFDGrC 2003BOOK9910143854903321Rough Sets, Fuzzy Sets, Data Mining and Granular Computing772384UNINA