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003 DE-He213
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007 cr nn 008mamaa
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020 _a9783642397127
_9978-3-642-39712-7
024 7 _a10.1007/978-3-642-39712-7
_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 Data Mining in Pattern Recognition
_h[electronic resource] :
_b9th International Conference, MLDM 2013, New York, NY, USA, July 19-25, 2013. Proceedings /
_cedited by Petra Perner.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXII, 660 p. 199 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 ;
_v7988
505 0 _aTheoretical topics for classification -- Clustering -- Association rule and pattern mining.- Specific data mining methods for the different multimedia data types.- Image mining -- Text mining -- Video mining.-Web mining.
520 _aThis book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2013, held in New York, USA in July 2013. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers cover the topics ranging from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.
650 0 _aComputer science.
650 0 _aAlgorithms.
650 0 _aData mining.
650 0 _aArtificial intelligence.
650 0 _aPattern recognition.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aPattern Recognition.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
700 1 _aPerner, Petra.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642397110
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v7988
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-39712-7
912 _aZDB-2-SCS
912 _aZDB-2-LNC
942 _cEBK
999 _c53968
_d53968