Computing for Data Analysis: Theory and Practices

Beschreibung

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.
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.
Covers various cutting-edge computing technologies and their applications Discusses in-depth knowledge on big data and cloud computing, quantum computing, cognitive computing Serves as a reference resource for researchers and practitioners in academia and industry

Autor*in

Sanjay Chakraborty

Themen in »Computing for Data Analysis: Theory and Practices«

Cutting Edge Computing Technologies Quantum Computing Big Data Cognitive Computing Cloud Computing Computational Biology Internet of Things

Stimmen zu »Computing for Data Analysis: Theory and Practices«

Details

Link teilen