LEADER 03952nam 22006975 450 001 9910299686203321 005 20200704122350.0 010 $a81-322-2202-4 024 7 $a10.1007/978-81-322-2202-6 035 $a(CKB)3710000000316032 035 $a(EBL)1968479 035 $a(SSID)ssj0001408108 035 $a(PQKBManifestationID)11782361 035 $a(PQKBTitleCode)TC0001408108 035 $a(PQKBWorkID)11346935 035 $a(PQKB)11312822 035 $a(DE-He213)978-81-322-2202-6 035 $a(MiAaPQ)EBC1968479 035 $a(PPN)183154045 035 $a(EXLCZ)993710000000316032 100 $a20141211d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aComputational Intelligence in Data Mining - Volume 3$b[electronic resource] $eProceedings of the International Conference on CIDM, 20-21 December 2014 /$fedited by Lakhmi C. Jain, Himansu Sekhar Behera, Jyotsna Kumar Mandal, Durga Prasad Mohapatra 205 $a1st ed. 2015. 210 1$aNew Delhi :$cSpringer India :$cImprint: Springer,$d2015. 215 $a1 online resource (716 p.) 225 1 $aSmart Innovation, Systems and Technologies,$x2190-3018 ;$v33 300 $aDescription based upon print version of record. 311 $a81-322-2201-6 320 $aIncludes bibliographical references and index. 327 $aAbout the Conference -- Acknowledgement -- Conference Committee -- Editor's Biography -- Preface -- Chapters -- Author Index. 330 $aThe contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis techniques. The interest in this research area has experienced a considerable growth in the last years due to two key factors: (a) knowledge hidden in organizations? databases can be exploited to improve strategic and managerial decision-making; (b) the large volume of data managed by organizations makes it impossible to carry out a manual analysis. The book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics. 410 0$aSmart Innovation, Systems and Technologies,$x2190-3018 ;$v33 606 $aComputational intelligence 606 $aData mining 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aData mining. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 676 $a006 676 $a006.3 676 $a006.312 676 $a620 702 $aJain$b Lakhmi C$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBehera$b Himansu Sekhar$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMandal$b Jyotsna Kumar$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMohapatra$b Durga Prasad$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910299686203321 996 $aComputational Intelligence in Data Mining - Volume 3$92514542 997 $aUNINA