Big Data Analytics: Systems, Algorithms, Applications - Couverture rigide

Prabhu, C.S.R.; Chivukula, Aneesh Sreevallabh; Mogadala, Aditya; Ghosh, Rohit; Livingston, L.M. Jenila

Couverture rigide

ISBN 10 : 9811500932 ISBN 13 : 9789811500930

Editeur : Springer Verlag, Singapore, 2019

Synopsis

This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis.

A propos du livre

À propos de l?auteur

Dr. Chivukula Sree Rama Prabhu has held prestigious positions with Government of India and various institutions. He retired as Director General of the National Informatics Centre (NIC), Ministry of Electronics and Information Technology, Government of India, New Delhi, and has worked with Tata Consultancy Services (TCS), CMC, TES and TELCO (now Tata Motors). He was also faculty for the Programs of the APO (Asian Productivity Organization). He has taught and researched at the University of Central Florida, Orlando, USA, and also had a brief stint as a Consultant to NASA. He was Chairman of the Computer Society of India (CSI), Hyderabad Chapter. He is presently working as an Advisor (Honorary) at KL University, Vijayawada, Andhra Pradesh, and as a Director of Research and Innovation at Keshav Memorial Institute of Technology (KMIT), Hyderabad.He received his Master's degree in Electrical Engineering with specialization in Computer Science from the Indian Institute of Technology, Bombay. He has guided many Master's and doctoral students in research areas such as Big Data.Dr. Aneesh Sreevallabh Chivukula is currently a Research Scholar at the Advanced Analytics Institute, University of Technology Sydney (UTS), Australia. Previously, he chiefly worked in computational data science-driven product development at Indian startup companies and research labs. He received his M.S. degree from the International Institute of Information Technology (IIIT), Hyderabad. His research interests include machine learning, data mining, pattern recognition, big data analytics and cloud computing.Dr. Aditya Mogadala is a postdoc in the Language Science and Technology at Saarland University. His research concentrates on the general area of Deep/Representation learning applied for integration of external real-world/common-sense knowledge (e.g., vision and knowledge graphs) into natural language sequence generation models. Before Postdoc, he was a PhD student and Research Associate at the Karlsruhe Institute of Technology, Germany. He holds B.Tech and M.S. degree from the IIIT, Hyderabad, and has worked as a Software Engineer at IBM India Software Labs.Mr. Rohit Ghosh currently works at Qure, Mumbai. He previously served as a Data Scientist for ListUp, and for Data Science Labs. Holding a B.Tech. from the IIT Mumbai, his work involves R&D areas in computer vision, deep learning, reinforcement learning (mostly related to trading strategies) and cryptocurrencies.Dr. Jenila Livingston is an Associate Professor with the CSE Dept at VIT, Chennai. Her teaching foci and research interests include artificial intelligence, soft computing, and analytics.

Détails de l'édition

• Éditeur: Springer Verlag, Singapore
• Date d'édition: 2019
• Langue: anglais
• ISBN 10: 9811500932
• ISBN 13: 9789811500930
• Reliure: Relié
• Nombre de pages: 438
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible