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020 _a9783642231995
_9978-3-642-23199-5
024 7 _a10.1007/978-3-642-23199-5
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aMachine Learning and Data Mining in Pattern Recognition
_h[electronic resource] :
_b7th International Conference, MLDM 2011, New York, NY, USA, August 30-September 3, 2011Proceedings /
_cedited by Petra Perner.
250 _a1st ed. 2011.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2011.
300 _aXII, 614 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 Artificial Intelligence,
_x2945-9141 ;
_v6871
520 _aThis book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2011, held in New York, NY, USA. The 44 revised full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized in topical sections on classification and decision theory, theory of learning, clustering, appilication in medicine, Webmining and information mining; and machine learning and image mining.
650 0 _aArtificial intelligence.
_93407
650 0 _aMachine theory.
_9153758
650 0 _aDatabase management.
_93157
650 0 _aData mining.
_93907
650 0 _aPattern recognition systems.
_93953
650 0 _aComputer vision.
_9153759
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aFormal Languages and Automata Theory.
_9153760
650 2 4 _aDatabase Management.
_93157
650 2 4 _aData Mining and Knowledge Discovery.
_9153761
650 2 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aComputer Vision.
_9153762
700 1 _aPerner, Petra.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9153763
710 2 _aSpringerLink (Online service)
_9153764
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642231988
776 0 8 _iPrinted edition:
_z9783642232008
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v6871
_9153765
856 4 0 _uhttps://doi.org/10.1007/978-3-642-23199-5
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