000			03446nam a22006015i 4500
001			978-3-642-23780-5
003			DE-He213
005			20160624102203.0
007			cr nn 008mamaa
008			110817s2011 gw | s |||| 0|eng d
020			_a9783642237805 _9978-3-642-23780-5
024	7		_a10.1007/978-3-642-23780-5 _2doi
050		4	_aQ334-342
050		4	_aTJ210.2-211.495
072		7	_aUYQ _2bicssc
072		7	_aTJFM1 _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
245	1	0	_aMachine Learning and Knowledge Discovery in Databases _h[electronic resource] : _bEuropean Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011. Proceedings, Part I / _cedited by Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis.
260		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_aXXX, 649 p. _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 ; _v6911
520			_aThis three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2011, held in Athens, Greece, in September 2011. The 121 revised full papers presented together with 10 invited talks and 11 demos in the three volumes, were carefully reviewed and selected from about 600 paper submissions. The papers address all areas related to machine learning and knowledge discovery in databases as well as other innovative application domains such as supervised and unsupervised learning with some innovative contributions in fundamental issues; dimensionality reduction, distance and similarity learning, model learning and matrix/tensor analysis; graph mining, graphical models, hidden markov models, kernel methods, active and ensemble learning, semi-supervised and transductive learning, mining sparse representations, model learning, inductive logic programming, and statistical learning. a significant part of the papers covers novel and timely applications of data mining and machine learning in industrial domains.
650		0	_aComputer science.
650		0	_aComputer software.
650		0	_aDatabase management.
650		0	_aInformation storage and retrieval systems.
650		0	_aArtificial intelligence.
650	1	4	_aComputer Science.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aDatabase Management.
650	2	4	_aInformation Storage and Retrieval.
650	2	4	_aMathematical Logic and Formal Languages.
650	2	4	_aAlgorithm Analysis and Problem Complexity.
650	2	4	_aProbability and Statistics in Computer Science.
700	1		_aGunopulos, Dimitrios. _eeditor.
700	1		_aHofmann, Thomas. _eeditor.
700	1		_aMalerba, Donato. _eeditor.
700	1		_aVazirgiannis, Michalis. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642237799
786			_dSpringer
830		0	_aLecture Notes in Computer Science, _x0302-9743 ; _v6911
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-23780-5
942			_2EBK9883 _cEBK
999			_c39177 _d39177