Dawn E. Holmes & Lakhmi C Jain 
Data Mining: Foundations and Intelligent Paradigms [PDF ebook] 
VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects

Support

There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 2: Core Topics including Statistical, Time-Series and Bayesian Analysis” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field.

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Table des matières

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.
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Langue Anglais ● Format PDF ● Pages 250 ● ISBN 9783642232411 ● Taille du fichier 7.2 MB ● Éditeur Dawn E. Holmes & Lakhmi C Jain ● Maison d’édition Springer Berlin ● Lieu Heidelberg ● Pays DE ● Publié 2011 ● Téléchargeable 24 mois ● Devise EUR ● ID 2245180 ● Protection contre la copie DRM sociale

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