| 000 | 02754nam a22004815i 4500 | ||
|---|---|---|---|
| 001 | 978-3-642-23241-1 | ||
| 003 | DE-He213 | ||
| 005 | 20140220083301.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 111108s2012 gw | s |||| 0|eng d | ||
| 020 |
_a9783642232411 _9978-3-642-23241-1 |
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| 024 | 7 |
_a10.1007/978-3-642-23241-1 _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 2: Statistical, Bayesian, Time Series and other Theoretical Aspects / _cedited by Dawn E. Holmes, Lakhmi C. Jain. |
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2012. |
|
| 300 |
_aXIV, 250 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aIntelligent Systems Reference Library, _x1868-4394 ; _v24 |
|
| 505 | 0 | _aFrom the content: Data Mining with Multilayer Perceptrons and Support Vector Machines -- Regulatory Networks under Ellipsoidal Uncertainty - Data Analysis and Prediction by Optimization Theory and Dynamical Systems -- A Visual Environment for Designing and Running Data Mining Workflows in the Knowledge Grid -- Formal framework for the Study of Algorithmic Properties of Objective Interestingness Measures -- Nonnegative Matrix Factorization: Models, Algorithms and Applications -- Visual Data Mining and Discovery with Binarized Vectors. | |
| 520 | _aData mining is one of the most rapidly growing research areas in computer science and statistics. In Volume 2 of this three volume series, we have brought together contributions from some of the most prestigious researchers in theoretical data mining. Each of the chapters is self contained. Statisticians and applied scientists/ engineers will find this volume valuable. Additionally, it provides a sourcebook for graduate students interested in the current direction of research in data mining. | ||
| 650 | 0 | _aEngineering. | |
| 650 | 0 |
_aMedical records _xData processing. |
|
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 1 | 4 | _aEngineering. |
| 650 | 2 | 4 | _aComputational Intelligence. |
| 650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
| 650 | 2 | 4 | _aHealth Informatics. |
| 700 | 1 |
_aJain, Lakhmi C. _eeditor. |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642232404 |
| 830 | 0 |
_aIntelligent Systems Reference Library, _x1868-4394 ; _v24 |
|
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-23241-1 |
| 912 | _aZDB-2-ENG | ||
| 999 |
_c102144 _d102144 |
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