Data Science and Big Data Analytics: ACM-WIR 2018

Author:   Durgesh Kumar Mishra ,  Xin-She Yang ,  Aynur Unal
Publisher:   Springer Verlag, Singapore
Edition:   2019 ed.
Volume:   16
ISBN:  

9789811076404


Pages:   406
Publication Date:   02 August 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Data Science and Big Data Analytics: ACM-WIR 2018


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Author:   Durgesh Kumar Mishra ,  Xin-She Yang ,  Aynur Unal
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   2019 ed.
Volume:   16
Weight:   0.658kg
ISBN:  

9789811076404


ISBN 10:   9811076405
Pages:   406
Publication Date:   02 August 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Dr. Durgesh Kumar Mishra  is a Professor (CSE) and Director of the Microsoft Innovation Centre at Sri Aurobindo Institute of Technology, Indore, India and visiting faculty at IIT-Indore. He has 24 years of teaching and 12 years of research experience. He has published more than 90 papers in refereed international/national journals and conferences including IEEE, ACM conferences and organized many conferences as General Chair and Editor. He is a Senior Member of the IEEE, CSI, ACM, Chairman IEEE MP Subsection, IEEE Computer Society Bombay Chapter. At present he is Chairman of CSI Division IV Communication at the National Level and ACM Chapter Rajasthan and MP State.  Prof.  Xin-She Yang is an Associate Professor of Simulation  Modelling at Middlesex University, London. Prof. Yang’s main interests are applied mathematics, algorithm development, computational intelligence, engineering optimisation, mathematical modelling, optimisation and swarm intelligence. His research projects have been supported by the National Measurement Office, BIS, Southwest Development Agency (UK), Euro Met, EPSRC, NPL, and the National Science Foundation of China. He is EEE CIS Task Force Chair of the BIKM, Technical Committee of Computational Finance and Economics of IEEE Computational Intelligence Society; Advisor to the International Journal of Bio-Inspired Computation; Editorial Board Member of Elsevier’s Journal of Computational Science; and Editor-in-Chief of the International Journal of Mathematical Modelling and Numerical Optimisation.   Dr. Aynur Unal is a Strategic Adviser & Visiting Full Professor at the IIT Guwahati, India. She has created a product-focused engineering program using the cloud-based infrastructure. Her maininterests include Ecologically and socially responsible engineering, Zero waste Initiative and Sustainable Green Engineering. Her research focuses on both rural and urban sustainable development, renewable energy, solar towers and pumps. She has taught at Stanford University, and worked in Silicon Valley to develop products for data mining from big data (Triada’s Athena I & II), Collaborative Design and Manufacturing, secure and private communication, and collaboration software platforms (Amteus, listed in LSE AIM)

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