£110.76

Springer Time Series Analysis and Forecasting ITISE 2017 Book

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Description

Explore advanced research in the field of data science with Time Series Analysis and Forecasting: Selected Contributions from ITISE 2017. This academic volume brings together peer-reviewed papers presented at the International Work-Conference on Time Series held in Granada, Spain. This book covers a wide range of essential topics for researchers and professionals in econometrics and statistics. It provides deep insights into mathematical methodologies and computational intelligence methods applied to time series data. Readers can examine specialized subjects such as dimensionality reduction, similarity measures, and econometric models. The content addresses modern challenges including energy time series forecasting, online learning, and the management of high-dimensional or complex big data. Whether you are studying real-world forecasting problems or looking for updated methodologies in time series analysis, this Springer publication offers a comprehensive collection of scholarly work from the ITISE 2017 conference.

Key Features

Includes peer-reviewed contributions from the ITISE 2017 International Work-Conference held in Granada, Spain.

Covers advanced mathematical methodology and computational intelligence methods for time series analysis.

Provides research on dimensionality reduction and similarity measures for data processing.

Discusses econometric models and practical applications in energy time series forecasting.

Addresses modern data challenges including online learning and high-dimensional big data time series.

Focuses on solving real-world forecasting problems through academic research and methodology.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 December 2018
Listed Since
28 December 2018

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