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Advances in Time Series Forecasting: Volume 2

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Title: Advances in Time Series Forecasting: Volume 2
Description: This volume is a valuable source of recent knowledge about advanced time series forecasting techniques such as artificial neural networks, fuzzy time series, or hybrid approaches. New forecasting frameworks are discussed and their application is demonstrated. The second volume of the series includes applications of some powerful forecasting approaches with a focus on fuzzy time series methods. Chapters integrate these methods with concepts such as neural networks, high order multivariate systems, deterministic trends, distance measurement and much more. The chapters are contributed by eminent scholars and serve to motivate and accelerate future progress while introducing new branches of time series forecasting. This book is a valuable resource for MSc and PhD students, academic personnel and researchers seeking updated and critically important information on the concepts of advanced time series forecasting and its applications.
Authors: Cagdas Hakan Aladag
Resource Type: eBook.
Subjects: Time-series analysis
Categories: MATHEMATICS / Probability & Statistics / Time Series
Database: eBook Collection (EBSCOhost)
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 1663730
RelevancyScore: 1077
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1077.00524902344
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  Data: This volume is a valuable source of recent knowledge about advanced time series forecasting techniques such as artificial neural networks, fuzzy time series, or hybrid approaches. New forecasting frameworks are discussed and their application is demonstrated. The second volume of the series includes applications of some powerful forecasting approaches with a focus on fuzzy time series methods. Chapters integrate these methods with concepts such as neural networks, high order multivariate systems, deterministic trends, distance measurement and much more. The chapters are contributed by eminent scholars and serve to motivate and accelerate future progress while introducing new branches of time series forecasting. This book is a valuable resource for MSc and PhD students, academic personnel and researchers seeking updated and critically important information on the concepts of advanced time series forecasting and its applications.
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RecordInfo BibRecord:
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    Classifications:
      – Code: 519.55
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Time-series analysis
        Type: general
    Titles:
      – TitleFull: Advances in Time Series Forecasting: Volume 2
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Cagdas Hakan Aladag
      – PersonEntity:
          Name:
            NameFull: Cagdas Hakan Aladag
    IsPartOfRelationships:
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2017
            – D: 04
              M: 01
              Type: profile
              Y: 2019
          Identifiers:
            – Type: isbn-print
              Value: 9781681085296
            – Type: isbn-electronic
              Value: 9781681085289
          Numbering:
            – Type: volume
              Value: 00002
          Titles:
            – TitleFull: Advances in Time Series Forecasting: Volume 2
              Type: main
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