Lecture Notes in Networks and Systems

Machine Learning for Predictive Analysis

Proceedings of ICTIS 2020

Editors: Joshi, Amit, Khosravy, Mahdi, Gupta, Neeraj (Eds.)

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  • 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
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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.

 

About the authors

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.

Table of contents (59 chapters)

Table of contents (59 chapters)
  • A Hybrid Deep Learning Approach for Stock Price Prediction

    Pages 1-10

    Dutta, Abhishek (et al.)

  • Detection of Alphanumeric Characters by Connectionist Temporal Classification with Vanilla Beam Search Algorithm and NLP Using MATLAB and Keras

    Pages 11-21

    Patil, Aseem

  • Multilabel Toxic Comment Classification Using Supervised Machine Learning Algorithms

    Pages 23-32

    Shah, Darshin Kalpesh (et al.)

  • Model of Speed Spheroidization of Metals and Alloys Based on Multiprocessor Computing Complexes

    Pages 33-41

    Shvachych, Gennady (et al.)

  • Prediction of Sales Using Stacking Classifier

    Pages 43-50

    Jindal, Rajni (et al.)

Buy this book

eBook 192,59 €
price for Spain (gross)
  • ISBN 978-981-15-7106-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Hardcover 239,19 €
price for Spain (gross)
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Bibliographic Information

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
Series Volume
141
Copyright
2021
Publisher
Springer Singapore
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-7106-0
DOI
10.1007/978-981-15-7106-0
Hardcover ISBN
978-981-15-7105-3
Series ISSN
2367-3370
Edition Number
1
Number of Pages
XXIX, 627
Number of Illustrations
117 b/w illustrations, 188 illustrations in colour
Topics