04348nam 22007575 450 99620252430331620200701172426.03-662-44851-310.1007/978-3-662-44851-9(CKB)3710000000228657(SSID)ssj0001354189(PQKBManifestationID)11705820(PQKBTitleCode)TC0001354189(PQKBWorkID)11322681(PQKB)11328772(DE-He213)978-3-662-44851-9(MiAaPQ)EBC6301764(MiAaPQ)EBC5578205(Au-PeEL)EBL5578205(OCoLC)890899406(PPN)181351951(EXLCZ)99371000000022865720140901d2014 u| 0engurnn#008mamaatxtccrMachine Learning and Knowledge Discovery in Databases[electronic resource] European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II /edited by Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo1st ed. 2014.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2014.1 online resource (XXXIV, 715 p. 200 illus.)Lecture Notes in Artificial Intelligence ;8725Bibliographic Level Mode of Issuance: Monograph3-662-44850-5 Dynamic 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.This 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.Lecture Notes in Artificial Intelligence ;8725Data miningArtificial intelligencePattern recognitionInformation storage and retrievalData Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XInformation Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Data mining.Artificial intelligence.Pattern recognition.Information storage and retrieval.Data Mining and Knowledge Discovery.Artificial Intelligence.Pattern Recognition.Information Storage and Retrieval.006.31Calders Toonedthttp://id.loc.gov/vocabulary/relators/edtEsposito Florianaedthttp://id.loc.gov/vocabulary/relators/edtHüllermeier Eykeedthttp://id.loc.gov/vocabulary/relators/edtMeo Rosaedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996202524303316Machine Learning and Knowledge Discovery in Databases773712UNISA