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020 _a9783642231841
_9978-3-642-23184-1
024 7 _a10.1007/978-3-642-23184-1
_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
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082 0 4 _a006.312
_223
245 1 0 _aAdvances on Data Mining: Applications and Theoretical Aspects
_h[electronic resource] :
_b11th Industrial Conference, ICDM 2011, New York, NY, USA, August 30 – September 3, 2011, Proceedings /
_cedited by Petra PErner.
250 _a1st ed. 2011.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2011.
300 _aXI, 329 p.
_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 ;
_v6870
520 _aThis book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA in September 2011. The 22 revised full papers presented were carefully reviewed and selected from 100 submissions. The papers are organized in topical sections on data mining in medicine and agriculture, data mining in marketing,  data mining for Industrial processes and in telecommunication, Multimedia Data Mining, theoretical aspects of data mining, Data Warehousing, WebMining and Information Mining.
650 0 _aData mining.
650 0 _aMultimedia systems.
650 0 _aComputer vision.
650 0 _aApplication software.
650 0 _aDatabase management.
650 0 _aArtificial intelligence.
650 1 4 _aData Mining and Knowledge Discovery.
650 2 4 _aMultimedia Information Systems.
650 2 4 _aComputer Vision.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aDatabase Management.
650 2 4 _aArtificial Intelligence.
700 1 _aPErner, Petra.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642231834
776 0 8 _iPrinted edition:
_z9783642231858
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v6870
856 4 0 _uhttps://doi.org/10.1007/978-3-642-23184-1
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