Time Series Analysis, Modeling and Applications - A Computational Intelligence Perspective (Paperback, 2013 ed.)

Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of application embracing physical and human-generated phenomena (environmental data, financial markets, Internet activities, etc.). A quest for a thorough analysis, interpretation, modeling and prediction of time series comes with an ongoing challenge for developing models that are both accurate and user-friendly (interpretable). The volume is aimed to exploit the conceptual and algorithmic framework of Computational Intelligence (CI) to form a cohesive and comprehensive environment for building models of time series. The contributions covered in the volume are fully reflective of the wealth of the CI technologies by bringing together ideas, algorithms, and numeric studies, which convincingly demonstrate their relevance, maturity and visible usefulness. It reflects upon the truly remarkable diversity of methodological and algorithmic approaches and case studies. This volume is aimed at a broad audience of researchers and practitioners engaged in various branches of operations research, management, social sciences, engineering, and economics. Owing to the nature of the material being covered and a way it has been arranged, it establishes a comprehensive and timely picture of the ongoing pursuits in the area and fosters further developments.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Intelligent Systems Reference Library, 47
Release date:	December 2014
First published:	2013
Editors:	Witold Pedrycz • Shyi-Ming Chen
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Paperback
Pages:	404
Edition:	2013 ed.
ISBN-13:	978-3-642-43700-7
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-642-43700-1
Barcode:	9783642437007

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