Computing for Data Analysis: Theory and Practices
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...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Singapore
Springer Nature Singapore
2023, 2023
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| Edition: | 1st ed. 2023 |
| Series: | Data-Intensive Research
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of 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