LEADER 04957nam  22007935  450 
001 9910484905903321
005 20240108192452.0
010   $a3-642-36778-X
024 7 $a10.1007/978-3-642-36778-6
035   $a(CKB)3520000000003553
035   $a(SSID)ssj0000879995
035   $a(PQKBManifestationID)11569890
035   $a(PQKBTitleCode)TC0000879995
035   $a(PQKBWorkID)10872157
035   $a(PQKB)11774422
035   $a(DE-He213)978-3-642-36778-6
035   $a(MiAaPQ)EBC3093280
035   $a(PPN)168330431
035   $a(EXLCZ)993520000000003553
100   $a20130217d2013      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aEmerging Trends in Knowledge Discovery and Data Mining $ePAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29 -- June 1, 2012, Revised Selected Papers /$fedited by Takashi Washio, Jun Luo
205   $a1st ed. 2013.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013.
215   $a1 online resource (XII, 157 p. 49 illus.)
225 1 $aLecture Notes in Artificial Intelligence ;$v7769
300   $aIncludes author index.
311   $a3-642-36777-1 
320   $aIncludes bibliographical references and author index.
330   $aThis book constitutes the thoroughly refereed proceedings of the PAKDD 2012 International Workshops: Third Workshop on Data Mining for Healthcare Management (DMHM 2012), First Workshop on Geospatial Information and Documents (GeoDoc 2012), First Workshop on Multi-view data, High-dimensionality, External Knowledge: Striving for a Unified Approach to Clustering (3Clust 2012), and the Second Doctoral Symposium on Data Mining (DSDM 2012); held in conjunction with the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012), in Kuala Lumpur, Malaysia, May/June 2012. The 12 revised papers presented were carefully reviewed and selected from numerous submissions. DMHM 2012 aimed at providing a common platform for the discussion of challenging issues and potential techniques in this emerging field of data mining for health care management; 3Clust 2012 focused on solving emerging problems such as clustering ensembles, semi-supervised clustering, subspace/projective clustering, co-clustering, and multi-view clustering; GeoDoc 2012 highlighted the formalization of geospatial concepts and relationships with a focus on the extraction of geospatial relations in free text datasets to offer to the database community a unified framework for geodata discovery; and DSDM 2012 provided the opportunity for Ph.D. students and junior researchers to discuss their work on data mining foundations, techniques and applications.
410  0$aLecture Notes in Artificial Intelligence ;$v7769
606   $aData mining
606   $aArtificial intelligence
606   $aMedical informatics
606   $aInformation storage and retrieval
606   $aApplication software
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23060
606   $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032
606   $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040
615  0$aData mining.
615  0$aArtificial intelligence.
615  0$aMedical informatics.
615  0$aInformation storage and retrieval.
615  0$aApplication software.
615 14$aData Mining and Knowledge Discovery.
615 24$aArtificial Intelligence.
615 24$aHealth Informatics.
615 24$aInformation Storage and Retrieval.
615 24$aInformation Systems Applications (incl. Internet).
676   $a006.312
686   $aDAT 703f$2stub
686   $aDAT 825f$2stub
686   $aSS 4800$2rvk
702   $aWashio$b Takashi$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aLuo$b Jun$4edt$4http://id.loc.gov/vocabulary/relators/edt
712 12$aDMHM 2012$f(2012 :$eKuala Lumpur, Malaysia)
712 12$aGeospatial Information and Documents (Workshop)$f(2012 :$eKuala Lumpur, Malaysia)
712 12$aMulti-View Data, High Dimensionality, External Knowledge: Striving for a Unified Approach to Clustering (Workshop)$f(2012 :$eKuala Lumpur, Malaysia)
712 12$aDoctoral Symposium on Data Mining$d(2nd :$f2012 :$eKuala Lumpur, Malaysia)
906   $aBOOK
912   $a9910484905903321
996   $aEmerging Trends in Knowledge Discovery and Data Mining$92832035
997   $aUNINA