Computing for Data Analysis: Theory and Practices
by
 
Chakraborty, Sanjay. author.

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 .

Subject Term
Computational intelligence.
 
Quantitative research.
 
Cloud Computing.
 
Internet of things.
 
Data Analysis and Big Data.

Added Author
Dey, Lopamudra.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-981-19-8004-6


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book526922-1001ONLINEElektronik Kütüphane