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000770996 020__ $$a9783662448458$$q(electronic book)
000770996 020__ $$a3662448459$$q(electronic book)
000770996 020__ $$z9783662448441
000770996 0247_ $$a10.1007/978-3-662-44845-8$$2doi
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000770996 1112_ $$aECML PKDD (Conference)$$d(2014 :$$cNancy, France)
000770996 24510 $$aMachine learning and knowledge discovery in databases :$$bEuropean Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings.$$nPart III /$$cedited by Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo.
000770996 264_1 $$aHeidelberg :$$bSpringer,$$c2014.
000770996 300__ $$a1 online resource (xxxvi, 533 pages) :$$billustrations.
000770996 336__ $$atext$$btxt$$2rdacontent
000770996 337__ $$acomputer$$bc$$2rdamedia
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000770996 4901_ $$aLecture notes in artificial intelligence,$$x0302-9743 ;$$v8726
000770996 4901_ $$aLNCS sublibrary. SL 7, Artificial intelligence
000770996 500__ $$aInternational conference proceedings.
000770996 500__ $$aIncludes author index.
000770996 5050_ $$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.
000770996 506__ $$aAccess limited to authorized users.
000770996 520__ $$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.
000770996 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 9, 2014).
000770996 650_0 $$aMachine learning$$vCongresses.
000770996 650_0 $$aData mining$$vCongresses.
000770996 7001_ $$aCalders, Toon,$$eeditor.
000770996 77608 $$iPrint verson:$$z9783662448441
000770996 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence ;$$v8726.
000770996 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
000770996 852__ $$bebk
000770996 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-662-44845-8$$zOnline Access$$91397441.1
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