LEADER 04628nam 22007815 450 001 996466030603316 005 20200701033903.0 010 $a3-642-23780-0 024 7 $a10.1007/978-3-642-23780-5 035 $a(CKB)2550000000052118 035 $a(SSID)ssj0000610192 035 $a(PQKBManifestationID)11345755 035 $a(PQKBTitleCode)TC0000610192 035 $a(PQKBWorkID)10623578 035 $a(PQKB)10432143 035 $a(DE-He213)978-3-642-23780-5 035 $a(MiAaPQ)EBC3067111 035 $a(PPN)156308843 035 $a(EXLCZ)992550000000052118 100 $a20110817d2011 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aMachine Learning and Knowledge Discovery in Databases$b[electronic resource] $eEuropean Conference, ECML PKDD 2010, Athens, Greece, September 5-9, 2011, Proceedings, Part I /$fedited by Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis 205 $a1st ed. 2011. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2011. 215 $a1 online resource (XXX, 649 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v6911 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-23779-7 320 $aIncludes bibliographical references and index. 330 $aThis three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2011, held in Athens, Greece, in September 2011. The 121 revised full papers presented together with 10 invited talks and 11 demos in the three volumes, were carefully reviewed and selected from about 600 paper submissions. The papers address all areas related to machine learning and knowledge discovery in databases as well as other innovative application domains such as supervised and unsupervised learning with some innovative contributions in fundamental issues; dimensionality reduction, distance and similarity learning, model learning and matrix/tensor analysis; graph mining, graphical models, hidden markov models, kernel methods, active and ensemble learning, semi-supervised and transductive learning, mining sparse representations, model learning, inductive logic programming, and statistical learning. a significant part of the papers covers novel and timely applications of data mining and machine learning in industrial domains. 410 0$aLecture Notes in Artificial Intelligence ;$v6911 606 $aArtificial intelligence 606 $aDatabase management 606 $aInformation storage and retrieval 606 $aMathematical logic 606 $aAlgorithms 606 $aMathematical statistics 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 615 0$aArtificial intelligence. 615 0$aDatabase management. 615 0$aInformation storage and retrieval. 615 0$aMathematical logic. 615 0$aAlgorithms. 615 0$aMathematical statistics. 615 14$aArtificial Intelligence. 615 24$aDatabase Management. 615 24$aInformation Storage and Retrieval. 615 24$aMathematical Logic and Formal Languages. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aProbability and Statistics in Computer Science. 676 $a006.3 702 $aGunopulos$b Dimitrios$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHofmann$b Thomas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMalerba$b Donato$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVazirgiannis$b Michalis$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996466030603316 996 $aMachine Learning and Knowledge Discovery in Databases$9773712 997 $aUNISA