Data Mining: Foundations and Intelligent Paradigms

VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects

Häftad, Engelska, 2014

Av Dawn E. Holmes, Lakhmi C Jain, Lakhmi C. Jain

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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.

Produktinformation

Utgivningsdatum2014-01-26
Mått155 x 235 x 15 mm
Vikt406 g
FormatHäftad
SpråkEngelska
SerieIntelligent Systems Reference Library
Antal sidor250
Upplaga2012
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783642434297

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Artificiell intelligens inom Data och it
Databaser inom Data och it

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.