LEADER 03960nam  22008175  450 
001 996213696303316
005 20200629184950.0
010   $a3-319-08979-X
024 7 $a10.1007/978-3-319-08979-9
035   $a(CKB)3710000000219400
035   $a(SSID)ssj0001297473
035   $a(PQKBManifestationID)11743183
035   $a(PQKBTitleCode)TC0001297473
035   $a(PQKBWorkID)11362625
035   $a(PQKB)11108506
035   $a(DE-He213)978-3-319-08979-9
035   $a(MiAaPQ)EBC6301137
035   $a(MiAaPQ)EBC5610879
035   $a(Au-PeEL)EBL5610879
035   $a(OCoLC)884889068
035   $a(PPN)179925717
035   $a(EXLCZ)993710000000219400
100   $a20140717d2014      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aMachine Learning and Data Mining in Pattern Recognition$b[electronic resource] $e10th International Conference, MLDM 2014, St. Petersburg, Russia, July 21-24, 2014, Proceedings /$fedited by Petra Perner
205   $a1st ed. 2014.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014.
215   $a1 online resource (XIV, 536 p. 188 illus.) 
225 1 $aLecture Notes in Artificial Intelligence ;$v8556
300   $aIncludes index.
311   $a3-319-08978-1 
327   $aTheoretical topics for classification -- Clustering -- Association rule.-  Pattern mining.- Specific data mining methods for the different multimedia data types.- Image mining -- Text mining -- Video mining.-  Web mining.
330   $aThis book constitutes the refereed proceedings of the 10th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2014, held in St. Petersburg, Russia in July 2014. The 40 full papers presented were carefully reviewed and selected from 128 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.
410  0$aLecture Notes in Artificial Intelligence ;$v8556
606   $aArtificial intelligence
606   $aData mining
606   $aPattern recognition
606   $aAlgorithms
606   $aApplication software
606   $aDatabase management
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
606   $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040
606   $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024
615  0$aArtificial intelligence.
615  0$aData mining.
615  0$aPattern recognition.
615  0$aAlgorithms.
615  0$aApplication software.
615  0$aDatabase management.
615 14$aArtificial Intelligence.
615 24$aData Mining and Knowledge Discovery.
615 24$aPattern Recognition.
615 24$aAlgorithm Analysis and Problem Complexity.
615 24$aInformation Systems Applications (incl. Internet).
615 24$aDatabase Management.
676   $a006.31
702   $aPerner$b Petra$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a996213696303316
996   $aMachine Learning and Data Mining in Pattern Recognition$9772451
997   $aUNISA