Time Series Analysis : Data, Methods, and Applications

Format:

Book

Author/Creator:

Ngan, Chun-Kit

Contributor:

Atkinson, Paul, 1947- editor.

Delamont, Sara, 1947- editor.

Cernat, Alexandru, editor.

Sakshaug, Joseph W., editor.

Williams, Richard A., active 2020, editor.

Language:

English

Subjects (All):

Political science.

Physical Description:

1 online resource : illustrations

Place of Publication:

IntechOpen 2019

London : SAGE Publications Ltd., 2020.

Summary:

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.

Notes:

Description based on XML content.

ISBN:

9781529748734

1529748739

OCLC:

1201327178