Data mining : foundations and intelligent paradigms Volume 2, Statistical, bayesian, time series and other theoretical aspects
Data 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. Statisti...
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| Další autoři: | , |
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| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Vydání: | 1st ed. 2012. |
| Edice: | Intelligent Systems Reference Library
24 |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Data mining, foundations and intelligent paradigms, Vol. 2, Statistical, Bayesian, time series and other theoretical aspects, Dawn E. Holmes et Lakhmi C. Jain, Berlin, Springer, 2012, 1 vol. (XII, 246 p.), Intelligent systems reference library, 978-3-642-23240-4 • Data Mining: Foundations and Intelligent Paradigms, Texte imprimé, 9783642434297 • Data mining, foundations and intelligent paradigms, Vol. 2, Statistical, Bayesian, time series and other theoretical aspects, Dawn E. Holmes et Lakhmi C. Jain, Berlin, Springer, 2012, 1 vol. (XII, 246 p.), Intelligent systems reference library, 978-3-642-23240-4 • Data Mining: Foundations and Intelligent Paradigms, Texte imprimé, 9783642232428 |
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| 245 | 0 | 0 | |a Data mining : |b foundations and intelligent paradigms |n Volume 2, |p Statistical, bayesian, time series and other theoretical aspects |c edited by Dawn E. Holmes, Lakhmi C. Jain. |
| 250 | |a 1st ed. 2012. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
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| 490 | 0 | |a Intelligent Systems Reference Library |v 24 |x 1868-4408 | |
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| 505 | 1 | |a From 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Data 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 | ||
| 700 | 1 | |a Holmes, Dawn E., |d 19..- |4 pbd | |
| 700 | 1 | |a Jain, Lakhmi C., |d 1946- |4 pbd | |
| 776 | 0 | |0 161248373 |t Data mining |o foundations and intelligent paradigms |h Vol. 2 |i Statistical, Bayesian, time series and other theoretical aspects |f Dawn E. Holmes et Lakhmi C. Jain |c Berlin |n Springer |d 2012 |p 1 vol. (XII, 246 p.) |s Intelligent systems reference library |z 978-3-642-23240-4 | |
| 776 | 0 | |t Data Mining: Foundations and Intelligent Paradigms |b Texte imprimé |z 9783642434297 | |
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| 776 | 0 | |t Data Mining: Foundations and Intelligent Paradigms |b Texte imprimé |z 9783642232428 | |
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