LEADER 03863nam 22006975 450 001 996465757603316 005 20200704025431.0 010 $a3-642-41299-8 024 7 $a10.1007/978-3-642-41299-8 035 $a(CKB)3710000000024409 035 $a(SSID)ssj0001049614 035 $a(PQKBManifestationID)11623133 035 $a(PQKBTitleCode)TC0001049614 035 $a(PQKBWorkID)11019980 035 $a(PQKB)10014386 035 $a(DE-He213)978-3-642-41299-8 035 $a(MiAaPQ)EBC3093500 035 $a(PPN)176116001 035 $a(EXLCZ)993710000000024409 100 $a20131007d2013 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aRough Sets and Knowledge Technology$b[electronic resource] $e8th International Conference, RSKT 2013, Halifax, NS, Canada, October 11-14, 2013, Proceedings /$fedited by Pawan Lingras, Marcin Wolski, Chris Cornelis, Sushmita Mitra, Piotr Wasilewski 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (XIV, 414 p. 84 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v8171 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-41298-X 327 $aHistory and future of rough sets -- Foundations and probabilistic rough sets -- Rules, reducts, ensembles -- New trends in computing -- Three-way decision rough sets -- Learning, predicting, modeling. 330 $aThis book constitutes the thoroughly refereed conference proceedings of the 8th International Conference on Rough Sets and Knowledge Technology, RSKT 2013, held in Halifax, Canada in October 2013 as one of the co-located conferences of the 2013 Joint Rough Set Symposium, JRS 2013. The 69 papers (including 44 regular and 25 short papers) included in the JRS proceedings (LNCS 8170 and LNCS 8171) were carefully reviewed and selected from 106 submissions. The papers in this volume cover topics such as history and future of rough sets; foundations and probabilistic rough sets; rules, reducts, ensembles; new trends in computing; three-way decision rough sets; and learning, predicting, modeling. 410 0$aLecture Notes in Artificial Intelligence ;$v8171 606 $aArtificial intelligence 606 $aNumerical analysis 606 $aData mining 606 $aOptical data processing 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aNumeric Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I1701X 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 615 0$aArtificial intelligence. 615 0$aNumerical analysis. 615 0$aData mining. 615 0$aOptical data processing. 615 14$aArtificial Intelligence. 615 24$aNumeric Computing. 615 24$aData Mining and Knowledge Discovery. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 676 $a006.3 702 $aLingras$b Pawan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWolski$b Marcin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCornelis$b Chris$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMitra$b Sushmita$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWasilewski$b Piotr$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465757603316 996 $aRough Sets and Knowledge Technology$9771897 997 $aUNISA