Buch, Englisch, 250 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 613 g
VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects
Buch, Englisch, 250 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 613 g
Reihe: Intelligent Systems Reference Library
ISBN: 978-3-642-23240-4
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.
