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020 _a9783642367786
_9978-3-642-36778-6
024 7 _a10.1007/978-3-642-36778-6
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aCOM021030
_2bisacsh
072 7 _aUNF
_2thema
072 7 _aUYQE
_2thema
082 0 4 _a006.312
_223
245 1 0 _aEmerging Trends in Knowledge Discovery and Data Mining
_h[electronic resource] :
_bPAKDD 2012 International Workshops: DMHM, GeoDoc, 3Clust, and DSDM, Kuala Lumpur, Malaysia, May 29 -- June 1, 2012, Revised Selected Papers /
_cedited by Takashi Washio, Jun Luo.
250 _a1st ed. 2013.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXII, 157 p. 49 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 Artificial Intelligence,
_x2945-9141 ;
_v7769
520 _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.
650 0 _aData mining.
_93907
650 0 _aArtificial intelligence.
_93407
650 0 _aMedical informatics.
_94729
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aApplication software.
_9159734
650 1 4 _aData Mining and Knowledge Discovery.
_9159735
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aHealth Informatics.
_931799
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aComputer and Information Systems Applications.
_9159736
700 1 _aWashio, Takashi.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9159737
700 1 _aLuo, Jun.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9159738
710 2 _aSpringerLink (Online service)
_9159739
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642367779
776 0 8 _iPrinted edition:
_z9783642367793
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v7769
_9159740
856 4 0 _uhttps://doi.org/10.1007/978-3-642-36778-6
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cELN
999 _c95557
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