Data Mining: Foundations and Intelligent Paradigms (eBook, PDF)

VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects
Redaktion: Holmes, Dawn E.; Jain, Lakhmi C

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 250
• Erscheinungstermin: 9. November 2011
• Englisch
• ISBN-13: 9783642232411
• Artikelnr.: 37371952

Inhaltsangabe

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.