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Computing for Data Analysis

Computing for Data Analysis Theory and Practices - Data-Intensive Research

Hardback (05 Feb 2023)

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Publisher's Synopsis

This book covers various cutting-edge computing technologies and their applications over data. It discusses in-depth knowledge on big data and cloud computing, quantum computing, cognitive computing, and computational biology with respect to different kinds of data analysis and applications. In this book, authors describe some interesting models in the cloud, quantum, cognitive, and computational biology domains that provide some useful impact on intelligent data (emotional, image, etc.) analysis. They also explain how these computing technologies based data analysis approaches used for various real-life applications. The book will be beneficial for readers working in this area.

Book information

ISBN: 9789811980039
Publisher: Springer Nature Singapore
Imprint: Springer
Pub date:
DEWEY: 006.3
DEWEY edition: 23
Language: English
Number of pages: 224
Weight: 544g
Height: 235mm
Width: 155mm
Spine width: 8mm