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Role of data-intensive distributed computing systems in designing data solutions / Sarvesh Pandey, Udai Shanker, Vijayalakshmi Saravanan, Rajinikumar Ramalingam, editors.
Pandey, Sarvesh, 1994- editor.; Shanker, Udai, editor.; Saravanan, Vijayalakshmi, editor.; Ramalingam, Rajinikumar, editor.
2022
QA76.9.B45
Available Online

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Title Role of data-intensive distributed computing systems in designing data solutions / Sarvesh Pandey, Udai Shanker, Vijayalakshmi Saravanan, Rajinikumar Ramalingam, editors.
ISBN 9783031155420 (electronic bk.)
3031155424 (electronic bk.)
9783031155413
3031155416
DOI https://doi.org/10.1007/978-3-031-15542-0
Published Cham : Springer, 2022.
Language English
Description 1 online resource (1 volume) : illustrations (black and white, and colour).
Other Standard Identifiers 10.1007/978-3-031-15542-0 doi
Call Number QA76.9.B45
Dewey Decimal Classification 005.7
621.382
Summary This book discusses the application of data systems and data-driven infrastructure in existing industrial systems in order to optimize workflow, utilize hidden potential, and make existing systems free from vulnerabilities. The book discusses application of data in the health sector, public transportation, the financial institutions, and in battling natural disasters, among others. Topics include real-time applications in the current big data perspective; improving security in IoT devices; data backup techniques for systems; artificial intelligence-based outlier prediction; machine learning in OpenFlow Network; and application of deep learning in blockchain enabled applications. This book is intended for a variety of readers from professional industries, organizations, and students.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Pandey, Sarvesh, 1994- editor.
Shanker, Udai, editor.
Saravanan, Vijayalakshmi, editor.
Ramalingam, Rajinikumar, editor.
Series EAI/Springer innovations in communication and computing.
Available in Other Form Role of data-intensive distributed computing systems in designing data solutions.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Introduction
One World One Identification Smart System
Tiered Architectural View of IoT: Structural Analysis and Concerns
Rethinking Real-Time Applications in the current big data perspective
Accuracy of Machine Learning Algorithms in predicting Retinal Disease
A Cloud Trustworthiness Assessment Algorithm
Improving Security in IoT devices
Data backup Techniques for Healthcare Systems
Role of Distributed Mutual Exclusion Algorithm
Anomaly detection system in health care system enabled in blockchain technology framework
Artificial intelligence-based Outlier Prediction
Machine Learning in OpenFlow Network
Defense Machinery Against Sybil Attacks over Wireless Ad-hoc Network on IoT
Decentralized application development for health care using smart contracts
Role of IoT in Healthcare
Improved Breast Cancer Classification Using K-Means & Logistic Regression
Sentimental Analysis
IoT and Smart city
Blockchain technology-based applications
Anomaly detection in cryptocurrencies framework
Application of deep learning in blockchain enabled applications
Conclusion.

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