Cover image for Computing for Data Analysis: Theory and Practices
Title:
Computing for Data Analysis: Theory and Practices
Author:
Chakraborty, Sanjay. author.
ISBN:
9789811980046
Edition:
1st ed. 2023.
Physical Description:
XVIII, 222 p. 91 illus., 69 illus. in color. online resource.
Series:
Data-Intensive Research,
Contents:
Part 1. Introduction -- Chapter 1. Introduction -- Part 2. Integration of Cloud, Internet of Things, Virtual Reality and Big Data Analytics -- Chapter 2. Impact of Big Data and Cloud Computing on Data Analysis -- Chapter 3. Edge Computing with Internet of Things (IoT) and Data Analysis -- Chapter 4. Virtual and Augmented Reality with Embedded Systems -- Part 3. Biological Applications of Data Analytics -- Chapter 5. Computational Biology towards Data Analysis -- Chapter 6. Data Classification through Cognitive Computing -- Part 4. Quantum Computing for Data Analysis -- Chapter 7. Quantum Computing in Machine Learning -- Chapter 8. Quantum Computing in Image Processing -- Part 5. Computations for Various Data Applications and Future -- Chapter 9. Challenges and Future Research Directions on Data Computation .
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