Computing for data analysis : theory and practices

Computing for data analysis : theory and practices / Sanjay Chakraborty, Lopamudra Dey.

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...

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Bibliographic Details
Main Authors: Chakraborty, Sanjay (Author), Dey, Lopamudra (Author)
Format: eBook
Language:English
Published: Singapore : Springer, [2023]
Series:Data-intensive research.
Subjects:
Computational intelligence.
Data mining.
Big data.
Big data
Computational intelligence
Data mining
Online Access:Click for online access
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 .

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