000			03372nam a22006375i 4500
001			978-3-319-23525-7
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005			20200421112553.0
007			cr nn 008mamaa
008			150828s2015 gw | s |||| 0|eng d
020			_a9783319235257 _9978-3-319-23525-7
024	7		_a10.1007/978-3-319-23525-7 _2doi
050		4	_aQA76.9.D343
072		7	_aUNF _2bicssc
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072		7	_aCOM021030 _2bisacsh
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 II / _cedited by Annalisa Appice, Pedro Pereira Rodrigues, V�itor Santos Costa, Jo�ao Gama, Al�ipio Jorge, Carlos Soares.
250			_a1st ed. 2015.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015.
300			_aXLII, 773 p. 198 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 Computer Science, _x0302-9743 ; _v9285
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, 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	_aComputer science.
650		0	_aDatabase management.
650		0	_aData mining.
650		0	_aInformation storage and retrieval.
650		0	_aArtificial intelligence.
650		0	_aPattern recognition.
650	1	4	_aComputer Science.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aPattern Recognition.
650	2	4	_aInformation Storage and Retrieval.
650	2	4	_aDatabase Management.
650	2	4	_aInformation Systems Applications (incl. Internet).
700	1		_aAppice, Annalisa. _eeditor.
700	1		_aRodrigues, Pedro Pereira. _eeditor.
700	1		_aSantos Costa, V�itor. _eeditor.
700	1		_aGama, Jo�ao. _eeditor.
700	1		_aJorge, Al�ipio. _eeditor.
700	1		_aSoares, Carlos. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319235240
830		0	_aLecture Notes in Computer Science, _x0302-9743 ; _v9285
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-23525-7
912			_aZDB-2-SCS
912			_aZDB-2-LNC
942			_cEBK
999			_c58968 _d58968