Computational Intelligence-based Time Series Analysis

The sequential analysis of data and information gathered from past to present is called time series analysis. Time series data are of high dimension, large size and updated continuously. A time series depends on various factors like trend, seasonality, cycle and irregular data set, and is basically a series of data points well-organized in time. Time series forecasting is a significant area of machine learning. There are various prediction problems that are time-dependent and these problems can be handled through time series analysis. Computational intelligence (CI) is a developing computing approach for the forthcoming several years. CI gives the litheness to model the problem according to given requirements. It helps to find swift solutions to the problems arising in numerous disciplines. These methods mimic human behavior. The main objective of CI is to develop intelligent machines to provide solutions to real world problems, which are not modelled or are too difficult to model mathematically. This book aims to cover the recent advances in time series and applications of CI for time series analysis.

Dr Dinesh C. S. Bisht received his PhD with a major in Mathematics and a minor in Electronics and Communication Engineering from G. B. Pant University of Agriculture and Technology, Uttarakhand, India. Before joining the Jaypee Institute of Information Technology he worked as an assistant professor at ITM University, Gurgaon, India. He has been a Faculty Member for around eleven years and has taught several core courses in applied mathematics and soft computing at undergraduate and master levels. His major research interests include soft computing and nature inspired optimization. He has published more than 38 research papers in national and international journals of repute. He is the Associate Editor for International Journal of Mathematical, Engineering and Management Sciences, ESCI and SCOPUS indexed journals. He is the editor of the book Computational Intelligence: Theoretical Advances and Advanced Applications published by Walter de Gruyter GmbH & Co KG. He has also published seven book chapters in reputed book series. Dr Bisht is a member of the International Association of Engineers in Hong Kong and Soft Computing Research Society, India. He has been awarded for outstanding contributions in reviewing by the editors of Applied Soft Computing Journal, Elsevier. Professor (Dr) Mangey Ram received his PhD with a major in Mathematics and minor in Computer Science from G. B. Pant University of Agriculture and Technology, Pantnagar, India. He has been a Faculty Member for around twelve years and has taught several core courses in pure and applied mathematics at undergraduate, postgraduate, and doctorate levels. He is currently the Research Professor at Graphic Era (Deemed to be University), Dehradun, India. Before joining Graphic Era, he was a Deputy Manager (Probationary Officer) with the Syndicate Bank for a short period. He is Editor-in-Chief of International Journal of Mathematical, Engineering and Management Sciences, Journal of Reliability and Statistical Studies, Editor-in-Chief of six book series with Elsevier, CRC Press-A Taylor and Frances Group, Walter De Gruyter Publisher Germany, River Publishers and the Guest Editor and Member of the editorial board of various journals. He has published 250 plus research publications (journal articles/books/book chapters/conference articles) in IEEE, Taylor & Francis, Springer, Elsevier, Emerald, World Scientific publications and many other national and international journals and conferences. Also, he has published more than 50 books (authored/edited) with international publishers like Elsevier, Springer Nature, CRC Press-A Taylor and Frances Group, Walter De Gruyter Publisher Germany, River Publishers. His fields of research are reliability theory and applied mathematics. Dr Ram is a Senior Member of the IEEE, Senior Life Member of the Operational Research Society of India, the Society for Reliability Engineering, Quality and Operations Management in India, Indian Society of Industrial and Applied Mathematics, He has been a member of the organizing committee of a number of international and national conferences, seminars, and workshops. He was conferred with the Young Scientist Award by the Uttarakhand State Council for Science and Technology, Dehradun in 2009. He was awarded the Best Faculty Award in 2011; Research Excellence Award in 2015; and recently Outstanding Researcher Award in 2018 for his significant contributions in academics and research at Graphic Era (Deemed to be University), Dehradun, India.

1. On Dimensionless Dissimilarity Measures for Time Series 2. The Classification Analysis of Variability of Time Series of Different Origin 3. A Comparative Study of CNN Architectures for Remaining Useful Life Estimation 4. The Analysis of Dynamical Changes and Local Seismic Activity of the Enguri Arch Dam 5. Analysis and Prediction of Daily Closing Price of Commodity Index Using Auto Regressive Integrated Moving Averages 6. Neural Networks Analysis of Suspended Sediment Transport Time Series Modeling in a River System 7. Ranking Forecasting Algorithms Using MCDM Methods: A Python Based Application 8. Rainfall Prediction Using Artificial Neural Network 9. Statistical Downscaling and Time Series Analysis for Future Scenarios of Temperature in Haridwar District, Uttarakhand