| 000 | 02710nam a22004695i 4500 | ||
|---|---|---|---|
| 001 | 978-3-642-23151-3 | ||
| 003 | DE-He213 | ||
| 005 | 20140220083300.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 120111s2012 gw | s |||| 0|eng d | ||
| 020 |
_a9783642231513 _9978-3-642-23151-3 |
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| 024 | 7 |
_a10.1007/978-3-642-23151-3 _2doi |
|
| 050 | 4 | _aQ342 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aCOM004000 _2bisacsh |
|
| 082 | 0 | 4 |
_a006.3 _223 |
| 100 | 1 |
_aHolmes, Dawn E. _eeditor. |
|
| 245 | 1 | 0 |
_aData Mining: Foundations and Intelligent Paradigms _h[electronic resource] : _bVolume 3: Medical, Health, Social, Biological and other Applications / _cedited by Dawn E. Holmes, Lakhmi C Jain. |
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2012. |
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| 300 |
_aXVI, 364p. 103 illus., 37 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aIntelligent Systems Reference Library, _x1868-4394 ; _v25 |
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| 505 | 0 | _aFrom the content: Advances in Data Mining Applications -- Temporal Pattern Mining for Medical Applications -- BioKeySpotter: an Unsupervised Keyphrase Extraction Technique in the Biomedical Full-text Collection -- Mining Health Claims data for assessing patient risk -- Mining biological networks for similar patterns -- Estimation of Distribution Algorithms in Gene Expression Data Analysis. | |
| 520 | _aData mining is one of the most rapidly growing research areas in computer science and statistics. In Volume 3 of this three volume series, we have brought together contributions from some of the most prestigious researchers in applied data mining. Areas of application covered are diverse and include healthcare and finance. Each of the chapters is self contained. Statisticians, applied scientists/ engineers and researchers in bioinformatics will find this volume valuable. Additionally, it provides a sourcebook for graduate students interested in the current direction of research in applied data mining. | ||
| 650 | 0 | _aEngineering. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 1 | 4 | _aEngineering. |
| 650 | 2 | 4 | _aComputational Intelligence. |
| 650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
| 650 | 2 | 4 | _aOperations Research/Decision Theory. |
| 700 | 1 |
_aJain, Lakhmi C. _eeditor. |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642231506 |
| 830 | 0 |
_aIntelligent Systems Reference Library, _x1868-4394 ; _v25 |
|
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-23151-3 |
| 912 | _aZDB-2-ENG | ||
| 999 |
_c102132 _d102132 |
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