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Time Series Analysis, Modeling and Applications: A Computational Intelligence Perspective

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, Int...

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Detalles Bibliográficos
Autores principales: Pedrycz, Witold, Chen, Shyi-Ming
Lenguaje:eng
Publicado: Springer 2013
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-33439-9
http://cds.cern.ch/record/1513037
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author Pedrycz, Witold
Chen, Shyi-Ming
author_facet Pedrycz, Witold
Chen, Shyi-Ming
author_sort Pedrycz, Witold
collection CERN
description 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.
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spelling cern-15130372021-04-21T23:26:48Zdoi:10.1007/978-3-642-33439-9http://cds.cern.ch/record/1513037engPedrycz, WitoldChen, Shyi-MingTime Series Analysis, Modeling and Applications: A Computational Intelligence PerspectiveEngineeringTemporal 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.Springeroai:cds.cern.ch:15130372013
spellingShingle Engineering
Pedrycz, Witold
Chen, Shyi-Ming
Time Series Analysis, Modeling and Applications: A Computational Intelligence Perspective
title Time Series Analysis, Modeling and Applications: A Computational Intelligence Perspective
title_full Time Series Analysis, Modeling and Applications: A Computational Intelligence Perspective
title_fullStr Time Series Analysis, Modeling and Applications: A Computational Intelligence Perspective
title_full_unstemmed Time Series Analysis, Modeling and Applications: A Computational Intelligence Perspective
title_short Time Series Analysis, Modeling and Applications: A Computational Intelligence Perspective
title_sort time series analysis, modeling and applications: a computational intelligence perspective
topic Engineering
url https://dx.doi.org/10.1007/978-3-642-33439-9
http://cds.cern.ch/record/1513037
work_keys_str_mv AT pedryczwitold timeseriesanalysismodelingandapplicationsacomputationalintelligenceperspective
AT chenshyiming timeseriesanalysismodelingandapplicationsacomputationalintelligenceperspective