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001 978-3-540-36282-1
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008 121227s2003 gw | s |||| 0|eng d
020 _a9783540362821
_9978-3-540-36282-1
024 7 _a10.1007/3-540-36282-7
_2doi
050 4 _aQA76.9.D35
050 4 _aQ350-390
072 7 _aUMB
_2bicssc
072 7 _aGPF
_2bicssc
072 7 _aCOM021000
_2bisacsh
072 7 _aUMB
_2thema
072 7 _aGPF
_2thema
082 0 4 _a005.73
_223
082 0 4 _a003.54
_223
100 1 _aPerner, Petra.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aData Mining on Multimedia Data
_h[electronic resource] /
_cby Petra Perner.
250 _a1st ed. 2003.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2003.
300 _aX, 138 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 Computer Science,
_x1611-3349 ;
_v2558
505 0 _aData Preparation -- Methods for Data Mining -- Applications -- Conclusion.
520 _aDespite being a young field of research and development, data mining has proved to be a successful approach to extracting knowledge from huge collections of structured digital data collection as usually stored in databases. Whereas data mining was done in early days primarily on numerical data, nowadays multimedia and Internet applications drive the need to develop data mining methods and techniques that can work on all kinds of data such as documents, images, and signals. This book introduces the basic concepts of mining multimedia data and demonstrates how to apply these methods in various application fields. It is written for students, ambitioned professionals from industry and medicine, and for scientists who want to contribute R&D work to the field or apply this new technology.
650 0 _aData structures (Computer science).
650 0 _aInformation theory.
650 0 _aDatabase management.
650 0 _aMultimedia systems.
650 0 _aArtificial intelligence.
650 0 _aComputer vision.
650 0 _aBusiness information services.
650 1 4 _aData Structures and Information Theory.
650 2 4 _aDatabase Management.
650 2 4 _aMultimedia Information Systems.
650 2 4 _aArtificial Intelligence.
650 2 4 _aComputer Vision.
650 2 4 _aIT in Business.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540003175
776 0 8 _iPrinted edition:
_z9783662170779
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v2558
856 4 0 _uhttps://doi.org/10.1007/3-540-36282-7
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
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999 _c188190
_d188190