LEADER 03517nam 22005775 450 001 9910299488203321 005 20200630155840.0 010 $a3-319-02999-1 024 7 $a10.1007/978-3-319-02999-3 035 $a(CKB)3710000000078608 035 $a(DE-He213)978-3-319-02999-3 035 $a(SSID)ssj0001049251 035 $a(PQKBManifestationID)11550216 035 $a(PQKBTitleCode)TC0001049251 035 $a(PQKBWorkID)11019130 035 $a(PQKB)11226659 035 $a(MiAaPQ)EBC3092002 035 $a(PPN)176107304 035 $a(EXLCZ)993710000000078608 100 $a20131025d2014 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Knowledge Discovery and Management $eVolume 4 /$fedited by Fabrice Guillet, Bruno Pinaud, Gilles Venturini, Djamel Abdelkader Zighed 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (XVI, 175 p. 63 illus., 25 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v527 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-02998-3 330 $aThis book is a collection of representative and novel works done in Data Mining, Knowledge Discovery, Clustering and Classification that were originally presented in French at the EGC'2012 Conference held in Bordeaux, France, on January 2012. This conference was the 12th edition of this event, which takes place each year and which is now successful and well-known in the French-speaking community. This community was structured in 2003 by the foundation of the French-speaking EGC society (EGC in French stands for ``Extraction et Gestion des Connaissances'' and means ``Knowledge Discovery and Management'', or KDM). This book is intended to be read by all researchers interested in these fields, including PhD or MSc students, and researchers from public or private laboratories. It concerns both theoretical and practical aspects of KDM. The book is structured in two parts called ``Knowledge Discovery and Data Mining'' and ``Classification and Feature Extraction or Selection''. The first part (6 chapters) deals with data clustering and data mining. The three remaining chapters of the second part are related to classification and feature extraction or feature selection. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v527 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.3 702 $aGuillet$b Fabrice$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPinaud$b Bruno$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVenturini$b Gilles$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZighed$b Djamel Abdelkader$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910299488203321 996 $aAdvances in Knowledge Discovery and Management$91540610 997 $aUNINA