LEADER 04348nam 22007575 450 001 996202524303316 005 20200701172426.0 010 $a3-662-44851-3 024 7 $a10.1007/978-3-662-44851-9 035 $a(CKB)3710000000228657 035 $a(SSID)ssj0001354189 035 $a(PQKBManifestationID)11705820 035 $a(PQKBTitleCode)TC0001354189 035 $a(PQKBWorkID)11322681 035 $a(PQKB)11328772 035 $a(DE-He213)978-3-662-44851-9 035 $a(MiAaPQ)EBC6301764 035 $a(MiAaPQ)EBC5578205 035 $a(Au-PeEL)EBL5578205 035 $a(OCoLC)890899406 035 $a(PPN)181351951 035 $a(EXLCZ)993710000000228657 100 $a20140901d2014 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] $eEuropean Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II /$fedited by Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo 205 $a1st ed. 2014. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014. 215 $a1 online resource (XXXIV, 715 p. 200 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v8725 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-662-44850-5 327 $aDynamic networks and knowledge discovery -- Interactions between data mining and natural language processing -- Mining ubiquitous and social environments -- Statistically sound data mining -- Machine learning for urban sensor data -- Multi-target prediction -- Representation learning -- Neural connectomics: from imaging to connectivity -- Data analytics for renewable energy integration -- Linked data for knowledge discovery -- New frontiers in mining complex patterns -- Experimental economics and machine learning -- Learning with multiple views: applications to computer vision and multimedia mining -- Generalization and reuse of machine learning models over multiple contexts.- Predictive web analytics. 330 $aThis three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases. 410 0$aLecture Notes in Artificial Intelligence ;$v8725 606 $aData mining 606 $aArtificial intelligence 606 $aPattern recognition 606 $aInformation storage and retrieval 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 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aPattern recognition. 615 0$aInformation storage and retrieval. 615 14$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aPattern Recognition. 615 24$aInformation Storage and Retrieval. 676 $a006.31 702 $aCalders$b Toon$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aEsposito$b Floriana$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHüllermeier$b Eyke$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMeo$b Rosa$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996202524303316 996 $aMachine Learning and Knowledge Discovery in Databases$9773712 997 $aUNISA