Open access peer-reviewed Edited Volume

Time Series Analysis

Data, Methods, and Applications

Edited by Chun-Kit Ngan

Worcester Polytechnic Institute

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.

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Time Series AnalysisData, Methods, and ApplicationsEdited by Chun-Kit Ngan

Published: November 6th 2019

DOI: 10.5772/intechopen.78491

ISBN: 978-1-78984-779-6

Print ISBN: 978-1-78984-778-9

eBook (PDF) ISBN: 978-1-78984-786-4

Copyright year: 2019

Books open for chapter submissions

10838 Total Chapter Downloads

21 Crossref Citations

31 Dimensions Citations


Open access peer-reviewed

1. Process Fault Diagnosis for Continuous Dynamic Systems Over Multivariate Time Series

By Chris Aldrich


Open access peer-reviewed

2. Fuzzy Forecast Based on Fuzzy Time Series

By Ming-Tao Chou


Open access peer-reviewed

3. Training Deep Neural Networks with Reinforcement Learning for Time Series Forecasting

By Takashi Kuremoto, Takaomi Hirata, Masanao Obayashi, Shingo Mabu and Kunikazu Kobayashi


Open access peer-reviewed

4. CNN Approaches for Time Series Classification

By Lamyaa Sadouk


Open access peer-reviewed

5. Forecasting Shrimp and Fish Catch in Chilika Lake over Time Series Analysis

By Rohan Kumar Raman and Basanta Kumar Das


Open access peer-reviewed

6. Using Gray-Markov Model and Time Series Model to Predict Foreign Direct Investment Trend for Supporting China’s Economic Development

By Yanyan Zheng, Tong Shu, Shou Chen and Kin Keung Lai


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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