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Time Series Analysis - Data, Methods, and Applications

Edited by Chun-Kit Ngan

in Books from IntechOpen

Abstract: This book aims to provide readers with the current information, developments, and trends in a time series analysis, particularly in time series data patterns, technical methodologies, and real-world applications. This book is divided into three sections and each section includes two chapters. Section 1 discusses analyzing multivariate and fuzzy time series. Section 2 focuses on developing deep neural networks for time series forecasting and classification. Section 3 describes solving real-world domain-specific problems using time series techniques. The concepts and techniques contained in this book cover topics in time series research that will be of interest to students, researchers, practitioners, and professors in time series forecasting and classification, data analytics, machine learning, deep learning, and artificial intelligence.

JEL-codes: C60 (search for similar items in EconPapers)
Date: 2019
ISBN: 978-1-78984-778-9
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Downloads: (external link)
https://www.intechopen.com/books/5901 (text/html)
Book downloadable chapter-by-chapter

Chapters in this book:

CNN Approaches for Time Series Classification Downloads
Lamyaa Sadouk
Forecasting Shrimp and Fish Catch in Chilika Lake over Time Series Analysis Downloads
Rohan Raman and Basanta Das
Fuzzy Forecast Based on Fuzzy Time Series Downloads
Ming-Tao Chou
Process Fault Diagnosis for Continuous Dynamic Systems Over Multivariate Time Series Downloads
Chris Aldrich
Training Deep Neural Networks with Reinforcement Learning for Time Series Forecasting Downloads
Takashi Kuremoto, Shingo Mabu, Masanao Obayashi, Kunikazu Kobayashi and Takashi Kuremoto
Using Gray-Markov Model and Time Series Model to Predict Foreign Direct Investment Trend for Supporting China's Economic Development Downloads
Yanyan Zheng, Tong Shu, Shou Chen and Kin Keung Lai

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Persistent link: https://EconPapers.repec.org/RePEc:ito:pbooks:5901

DOI: 10.5772/intechopen.78491

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