Advances in Data Science and Analytics: Concepts and Paradigms

Author:   M. Niranjanamurthy (M. S. Ramaiah Institute of Technology, India) ,  Hemant Kumar Gianey (Vellore Institute of Technology, India) ,  Amir H. Gandomi (University of Technology Sydney, Australia)
Publisher:   John Wiley & Sons Inc
ISBN:  

9781119791881


Pages:   352
Publication Date:   01 November 2022
Format:   Hardback
Availability:   Available To Order   Availability explained
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Advances in Data Science and Analytics: Concepts and Paradigms


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Author:   M. Niranjanamurthy (M. S. Ramaiah Institute of Technology, India) ,  Hemant Kumar Gianey (Vellore Institute of Technology, India) ,  Amir H. Gandomi (University of Technology Sydney, Australia)
Publisher:   John Wiley & Sons Inc
Imprint:   Wiley-Scrivener
Dimensions:   Width: 15.20cm , Height: 2.00cm , Length: 22.90cm
Weight:   0.794kg
ISBN:  

9781119791881


ISBN 10:   111979188
Pages:   352
Publication Date:   01 November 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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M. Niranjanamurthy, PhD, is an assistant professor in the Department of Computer Applications, M. S. Ramaiah Institute of Technology, Bangalore, Karnataka, India. He earned his PhD in computer science at JJTU. He has over 13 years of teaching experience and two years of industry experience as a software engineer. He has published four books and 85 papers in technical journals and conferences. He has six patents to his credit and has won numerous awards. Hemant Kumar Gianey, PhD, is a senior assistant professor in the Computer Science Department at Vellore Institute of Technology, AP, India. He also worked at Thapar Institute of Engineering and Technology, Patiala, Punjab, India and worked as a post-doctoral researcher in the Computer Science and Engineering Department at National Cheng Kung University in Taiwan. He has over 15 years of teaching and industry experience. He has conducted many workshops and has been a guest speaker in various universities. He has also published many research papers on in scientific and technical journals. Amir H. Gandomi, PhD, is a professor of data science in the Department of Engineering and Information Technology, University of Technology Sydney. Before joining UTS, he was an assistant professor at the School of Business, Stevens Institute of Technology, NJ, and a distinguished research fellow at BEACON Center, Michigan State University. He has published over 150 journal papers and four books and collectively has been cited more than 14,000 times. He has been named as one of the world’s most influential scientific minds and a Highly Cited Researcher (top 1%) for three consecutive years, from 2017 to 2019. He has also served as associate editor, editor, and guest editor in several prestigious journals and has delivered several keynote talks. He is also part of a NASA technology cluster on Big Data, Artificial Intelligence, and Machine Learning.

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