Intelligent Systems Reference Library

Time Series Analysis, Modeling and Applications

A Computational Intelligence Perspective

Editors: Pedrycz, Witold, Chen, Shyi-Ming (Eds.)

  • Presents the principles and practice of Computational Intelligence in the analysis, design, and interpretation of time series
  • Taking into account the synergy among neurocomputing, fuzzy sets and evolutionary optimization
  • Written by leading experts in the field
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  • ISBN 978-3-642-43700-7
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About this book

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.

Table of contents (18 chapters)

  • The Links between Statistical and Fuzzy Models for Time Series Analysis and Forecasting

    Aznarte, José Luis (et al.)

    Pages 1-30

  • Incomplete Time Series: Imputation through Genetic Algorithms

    Figueroa-García, Juan Carlos (et al.)

    Pages 31-52

  • Intelligent Aggregation and Time Series Smoothing

    Yager, Ronald R.

    Pages 53-75

  • Financial Fuzzy Time Series Models Based on Ordered Fuzzy Numbers

    Marszałek, Adam (et al.)

    Pages 77-95

  • Stochastic-Fuzzy Knowledge-Based Approach to Temporal Data Modeling

    Walaszek-Babiszewska, Anna (et al.)

    Pages 97-118

Buy this book

eBook $159.00
price for USA (gross)
  • ISBN 978-3-642-33439-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $209.00
price for USA
  • ISBN 978-3-642-33438-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $209.00
price for USA
  • ISBN 978-3-642-43700-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Time Series Analysis, Modeling and Applications
Book Subtitle
A Computational Intelligence Perspective
Editors
  • Witold Pedrycz
  • Shyi-Ming Chen
Series Title
Intelligent Systems Reference Library
Series Volume
47
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-33439-9
DOI
10.1007/978-3-642-33439-9
Hardcover ISBN
978-3-642-33438-2
Softcover ISBN
978-3-642-43700-7
Series ISSN
1868-4394
Edition Number
1
Number of Pages
VIII, 404
Topics