Overview
- Presents recent research in the field of machine learning and predictive analysis
- Discusses the outcomes of ICTIS 2020, held in Ahmedabad, India
- Serves as a reference guide for researchers and practitioners in academia and industry
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 141)
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About this book
This book gathers papers addressing state-of-the-art research in the areas of machine learning and predictive analysis, presented virtually at the Fourth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2020), India. It covers topics such as intelligent agent and multi-agent systems in various domains, machine learning, intelligent information retrieval and business intelligence, intelligent information system development using design science principles, intelligent web mining and knowledge discovery systems.
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Keywords
Table of contents (59 papers)
Editors and Affiliations
About the editors
Amit Joshi is currently the Director of Global Knowledge Research Foundation and also an Entrepreneur Researcher who has completed his Masters and research in the areas of cloud computing and cryptography in medical imaging. Dr. Joshi has an experience of around 10 years in academic and industry in prestigious organizations. Dr. Joshi is an active member of ACM, IEEE, CSI, AMIE, IACSIT, Singapore, IDES, ACEEE, NPA and many other professional societies. Currently, Dr. Joshi is the International Chair of InterYIT at International Federation of Information Processing (IFIP, Austria). He has presented and published more than 50 papers in national and international journals/conferences of IEEE and ACM. Dr. Joshi has also edited more than 40 books which are published by Springer, ACM and other reputed publishers. Dr. Joshi has also organized more than 50 national and international conferences and programs in association with ACM, Springer and IEEE to name a few across different countries including India, UK, Europe, USA, Canada, Thailand, Egypt and many more.
Mahdi Khosravy holds a B.Sc. in Electrical Engineering (bio-electric) from Sahand University of Technology, Tabriz, Iran; an M.Sc. in Biomedical Engineering (bio-electric) from Beheshti University of Medical Studies, Tehran, Iran; and a Ph.D. in the field of Information Technology from the University of the Ryukyus, Okinawa, Japan. He received an award from the Head of the University for his research excellence. In 2010, he joined the University of Information Science and Technology (UIST), Ohrid, Macedonia as an Assistant Professor, and since 2018, he has been a Visiting Associate Professor at the Electrical Engineering Department, Federal University of Juiz de Fora in Brazil, and the Electrical Department at the University of the Ryukyus, Okinawa, Japan. Since November 2019, Dr. Khosravy has been a researcher at Media-integrated Laboratories, University of Osaka, Japan. He is a member of IEEE.
Neeraj Gupta received his Diploma in Environmental and Pollution Control, Civil Engineering in 1999, Bachelor of Engineering (B.E.) in Electrical and Electronics Engineering in 2003, Master of Technology (M.Tech.) in Engineering Systems in 2006, and his Ph.D. in Electrical Engineering from the Indian Institute of Technology (IIT), Kanpur, India, in 2013. He was a Postdoctoral Fellow (Sr. Project Engineer) at the Indian Institute of Technology (IIT) Jodhpur, India, for one year (June 2012–May 2013), and was a member of the faculty at the System Engineering Department of the same institute from 2013 to 2014. He then became an Assistant Professor at the Department of Applied IT Machine Intelligence and Robotics at the University for Information Science and Technology, Ohrid, Macedonia, from 2014 to 2017. Currently, he is an Assistant Professor at the School of Engineering and Computer Science, Oakland University, USA.
Bibliographic Information
Book Title: Machine Learning for Predictive Analysis
Book Subtitle: Proceedings of ICTIS 2020
Editors: Amit Joshi, Mahdi Khosravy, Neeraj Gupta
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-981-15-7106-0
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-15-7105-3Published: 23 October 2020
Softcover ISBN: 978-981-15-7108-4Published: 24 October 2021
eBook ISBN: 978-981-15-7106-0Published: 22 October 2020
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: XXIX, 627
Number of Illustrations: 117 b/w illustrations, 188 illustrations in colour
Topics: Computational Intelligence, Machine Learning, Big Data