Data Mining: Foundations and Intelligent Paradigms

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

• Gebundenes Buch

Produktbeschreibung

Data mining is a rapidly growing research area in computer science and statistics. Volume 2 of this three-volume series covers theoretical aspects of the subject, including statistical, Bayesian, time-series and others relevant to health informatics.

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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.

Produktdetails

• Intelligent Systems Reference Library 24
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 12795734, 978-3-642-23240-4
• 2012
• Seitenzahl: 264
• Erscheinungstermin: 7. November 2011
• Englisch
• Abmessung: 241mm x 160mm x 21mm
• Gewicht: 510g
• ISBN-13: 9783642232404
• ISBN-10: 364223240X
• Artikelnr.: 33708121

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.