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001			978-3-319-23528-8
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008			150828s2015 sz | s |||| 0|eng d
020			_a9783319235288 _9978-3-319-23528-8
024	7		_a10.1007/978-3-319-23528-8 _2doi
050		4	_aQA76.9.D343
072		7	_aUNF _2bicssc
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072		7	_aCOM021030 _2bisacsh
072		7	_aUNF _2thema
072		7	_aUYQE _2thema
082	0	4	_a006.312 _223
245	1	0	_aMachine Learning and Knowledge Discovery in Databases _h[electronic resource] : _bEuropean Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I / _cedited by Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, Carlos Soares, João Gama, Alípio Jorge.
250			_a1st ed. 2015.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015.
300			_aLVIII, 709 p. 160 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v9284
520			_aThe three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include 89 research papers, 11 industrial papers, 14 nectar papers, and 17 demo papers. They were organized in topical sections named: classification, regression and supervised learning; clustering and unsupervised learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix and tensor analysis; pattern and sequence mining; preference learning and label ranking; probabilistic, statistical, and graphical approaches; rich data; and social and graphs. Part III is structured in industrial track, nectar track, and demo track.
650		0	_aData mining.
650		0	_aArtificial intelligence.
650		0	_aPattern recognition systems.
650		0	_aInformation storage and retrieval systems.
650		0	_aDatabase management.
650		0	_aApplication software.
650	1	4	_aData Mining and Knowledge Discovery.
650	2	4	_aArtificial Intelligence.
650	2	4	_aAutomated Pattern Recognition.
650	2	4	_aInformation Storage and Retrieval.
650	2	4	_aDatabase Management.
650	2	4	_aComputer and Information Systems Applications.
700	1		_aAppice, Annalisa. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aRodrigues, Pedro Pereira. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSantos Costa, Vítor. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSoares, Carlos. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGama, João. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aJorge, Alípio. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783319235271
776	0	8	_iPrinted edition: _z9783319235295
830		0	_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v9284
856	4	0	_uhttps://doi.org/10.1007/978-3-319-23528-8
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