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200 10$aMachine Learning and Data Mining in Pattern Recognition$b[electronic resource] $e9th International Conference, MLDM 2013, New York, NY, USA, July 19-25, 2013, Proceedings /$fedited by Petra Perner
205   $a1st ed. 2013.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013.
215   $a1 online resource (XII, 660 p. 199 illus.) 
225 1 $aLecture Notes in Artificial Intelligence ;$v7988
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-642-39711-5 
327   $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.
330   $aThis book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2013, held in New York, USA in July 2013. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers cover the topics ranging from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.
410  0$aLecture Notes in Artificial Intelligence ;$v7988
606   $aArtificial intelligence
606   $aData mining
606   $aPattern recognition
606   $aAlgorithms
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
606   $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
606   $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021
615  0$aArtificial intelligence.
615  0$aData mining.
615  0$aPattern recognition.
615  0$aAlgorithms.
615 14$aArtificial Intelligence.
615 24$aData Mining and Knowledge Discovery.
615 24$aPattern Recognition.
615 24$aAlgorithm Analysis and Problem Complexity.
676   $a004
702   $aPerner$b Petra$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
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906   $aBOOK
912   $a996466025603316
996   $aMachine Learning and Data Mining in Pattern Recognition$9772451
997   $aUNISA