LEADER 05696nam 22008415 450 001 996465827003316 005 20240112140425.0 010 $a1-280-38967-2 010 $a9786613567598 010 $a3-642-16248-7 024 7 $a10.1007/978-3-642-16248-0 035 $a(CKB)2550000000019874 035 $a(SSID)ssj0000446750 035 $a(PQKBManifestationID)11269706 035 $a(PQKBTitleCode)TC0000446750 035 $a(PQKBWorkID)10504350 035 $a(PQKB)10419836 035 $a(DE-He213)978-3-642-16248-0 035 $a(MiAaPQ)EBC3065937 035 $a(PPN)149029861 035 $a(EXLCZ)992550000000019874 100 $a20101001d2010 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aRough Set and Knowledge Technology$b[electronic resource] $e5th International Conference, RSKT 2010, Beijing, China, October 15-17, 2010, Proceedings /$fedited by Jian Yu, Salvatore Greco, Pawan Lingras, Guoyin Wang, Andrzej Skowron 205 $a1st ed. 2010. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2010. 215 $a1 online resource (XVII, 781 p. 178 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v6401 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-16247-9 320 $aIncludes bibliographical references and index. 327 $aKeynote Speech -- Rough Sets and Computing Theory -- Fuzzy Sets -- Knowledge Technology -- Intelligent Information Processing -- Health Informatics and Biometrics Authentication -- Neural Networks -- Complex Networks -- Granular Computing -- Metaheuristic -- Special Session: Cloud Model and Its Application -- Special Session: Data Mining in Cloud Computing -- Special Session: Decision-Theoretic Rough Set Model -- Special Session: Quotient Space Theory Research and Application. 330 $aTheInternationalConferenceonRoughSetandKnowledgeTechnology(RSKT) has been held every year since 2006. RSKT serves as a major forum that brings researchers and industry practitioners together to discuss and deliberate on fundamental issues of knowledge processing and management and knowled- intensive practical solutions in the current knowledge age. Experts from around the world meet to present state-of-the-art scienti?c results, to nurture academic and industrial interaction, and to promote collaborative research in rough sets and knowledge technology. The ?rst RSKT was held in Chongqing, China, f- lowed by RSKT 2007 in Toronto, Canada, RSKT 2008 in Chengdu, China and RSKT 2009 in Gold Coast, Australia. RSKT 2010, the 5th in the series, was held in Beijing, China, October 15?17, 2010. This volume contains 98 papers selected for presentation at RSKT 2010. Following the success of the previous conferences, RSKT 2010 continued the tradition of a very rigorous reviewing process. Every submission was reviewed byatleasttworeviewers.Moreover,RSKT2010invitedseveralareachairsto- pervise the review process of every submission. Most submissions were reviewed by three experts. The Program Committee members were deeply involved in a highly engaging selection process with discussions among reviewers and area chairs. When necessary, additional expert reviews were sought. As a result, only top-quality papers were chosen for presentation at the conference, including 49 regular papers (acceptance rate of 28%) and 25 short papers (acceptance rate of 14.3%). We would like to thank all the authors for contributing their best papers. Without their support, this conference would not have been possible. 410 0$aLecture Notes in Artificial Intelligence ;$v6401 606 $aArtificial intelligence 606 $aData mining 606 $aDatabase management 606 $aMathematical logic 606 $aComputers 606 $aPattern recognition 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aDatabase management. 615 0$aMathematical logic. 615 0$aComputers. 615 0$aPattern recognition. 615 14$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aDatabase Management. 615 24$aMathematical Logic and Formal Languages. 615 24$aComputation by Abstract Devices. 615 24$aPattern Recognition. 676 $a006.3 702 $aYu$b Jian$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGreco$b Salvatore$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLingras$b Pawan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWang$b Guoyin$f1970-$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSkowron$b Andrzej$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aRSKT 2010 906 $aBOOK 912 $a996465827003316 996 $aRough Set and Knowledge Technology$92830723 997 $aUNISA