000 | 03117nam a22006855i 4500 | ||
---|---|---|---|
001 | 978-3-540-36282-1 | ||
003 | DE-He213 | ||
005 | 20240423132457.0 | ||
007 | cr nn 008mamaa | ||
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 | ||
912 | _aZDB-2-BAE | ||
942 | _cSPRINGER | ||
999 |
_c188190 _d188190 |