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020 _a9783319419206
_9978-3-319-41920-6
024 7 _a10.1007/978-3-319-41920-6
_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] :
_b12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings /
_cedited by Petra Perner.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXIII, 807 p. 291 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 ;
_v9729
505 0 _aClassification -- Clustering -- Association rule -- Pattern mining -- Image mining.-Text mining -- Video mining -- Web mining.
520 _aThis book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2016, held in New York, NY, USA in July 2016. The 58 regular papers presented in this book were carefully reviewed and selected from 169 submissions. The topics range 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 _aDatabase management.
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.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aDatabase Management.
700 1 _aPerner, Petra.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319419190
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v9729
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-41920-6
912 _aZDB-2-SCS
912 _aZDB-2-LNC
942 _cEBK
999 _c52707
_d52707