Data Mining: Foundations and Intelligent Paradigms - VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects

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.

List of contents

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.

Summary

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.

Product details

• Assisted by: C Jain (Editor), C Jain (Editor), Daw E Holmes (Editor), Dawn E Holmes (Editor), Dawn E. Holmes (Editor), Lakhmi C Jain (Editor), Lakhmi C. Jain (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 09.12.2013
• EAN: 9783642434297
• ISBN: 978-3-642-43429-7
• No. of pages: 250
• Dimensions: 156 mm x 17 mm x 236 mm
• Weight: 406 g
• Illustrations: XIV, 250 p.
• Series: Intelligent Systems Reference Library; Intelligent Systems Reference Library
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; C, Artificial Intelligence, engineering, Health Informatics, Information technology: general issues, Computational Intelligence, Medical equipment & techniques