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Data Science and Big Data Analytics

ACM-WIR 2018
LivreCartonné
Classement des ventes 7589dans
CHF207.00

Description

This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing.

Détails

ISBN/GTIN978-981-10-7640-4
Type de produitLivre
ReliureCartonné
ÉditeurSpringer
Date de parution02.08.2018
Edition1st ed. 2019
No. de série16
Pages406 pages
LangueAnglais
DimensionsLargeur 155 mm, Hauteur 235 mm
Poids658 g
IllustrationsXXIV, 406 p. 152 illus., 95 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
N° article5448520
CataloguesBuchzentrum
Source des données n°25038892
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Série

Auteur

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. â¯Xin-She Yang is an Associate Professor of Simulation  Modelling at Middlesex University, London. Prof. Yang´s main interests are applied mathematics, algorithm development,â¯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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