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020 _a9783319089768
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024 7 _a10.1007/978-3-319-08976-8
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
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082 0 4 _a006.312
_223
245 1 0 _aAdvances in Data Mining: Applications and Theoretical Aspects
_h[electronic resource] :
_b14th Industrial Conference, ICDM 2014, St. Petersburg, Russia, July 16-20, 2014, Proceedings /
_cedited by Petra Perner.
250 _a1st ed. 2014.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aX, 229 p. 74 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 ;
_v8557
505 0 _aTheoretical aspects of data mining -- Applications of data mining.-Multimedia data -- Marketing -- Medicine -- Agriculture -- Process control -- Industry and society.
520 _aThis book constitutes the refereed proceedings of the 14th Industrial Conference on Advances in Data Mining, ICDM 2014, held in St. Petersburg, Russia, in July 2014. The 16 revised full papers presented were carefully reviewed and selected from various submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and agriculture and in process control, industry and society.
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:
_z9783319089751
776 0 8 _iPrinted edition:
_z9783319089775
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v8557
856 4 0 _uhttps://doi.org/10.1007/978-3-319-08976-8
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912 _aZDB-2-SXCS
912 _aZDB-2-LNC
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