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.
Tabella dei contenuti
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.Acquista questo ebook e ricevine 1 in più GRATIS!
Lingua Inglese ● Formato PDF ● Pagine 250 ● ISBN 9783642232411 ● Dimensione 7.2 MB ● Editore Dawn E. Holmes & Lakhmi C Jain ● Casa editrice Springer Berlin ● Città Heidelberg ● Paese DE ● Pubblicato 2011 ● Scaricabile 24 mesi ● Moneta EUR ● ID 2245180 ● Protezione dalla copia DRM sociale