000 02523nam a22005655i 4500
001 978-3-642-23199-5
003 DE-He213
005 20140220083811.0
007 cr nn 008mamaa
008 110813s2011 gw | s |||| 0|eng d
020 _a9783642231995
_9978-3-642-23199-5
024 7 _a10.1007/978-3-642-23199-5
_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
100 1 _aPerner, Petra.
_eeditor.
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, 2011. Proceedings /
_cedited by Petra Perner.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_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 Computer Science,
_x0302-9743 ;
_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 _aComputer science.
650 0 _aDatabase management.
650 0 _aData mining.
650 0 _aArtificial intelligence.
650 0 _aComputer vision.
650 0 _aOptical pattern recognition.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aMathematical Logic and Formal Languages.
650 2 4 _aDatabase Management.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aPattern Recognition.
650 2 4 _aImage Processing and Computer Vision.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642231988
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v6871
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-23199-5
912 _aZDB-2-SCS
912 _aZDB-2-LNC
999 _c108324
_d108324