Data Mining: Foundations and Intelligent Paradigms

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

• Broschiertes Buch

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.

Produktdetails

• Intelligent Systems Reference Library 24
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-642-43429-7
• 2012
• Seitenzahl: 264
• Erscheinungstermin: 26. Januar 2014
• Englisch
• Abmessung: 235mm x 155mm x 15mm
• Gewicht: 406g
• ISBN-13: 9783642434297
• ISBN-10: 3642434290
• Artikelnr.: 40084842

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.