- ホーム
- > 洋書
- > 英文書
- > Computer / General
Full Description
Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It explains dead fusion in realizing the privacy and security of blockchain based data analytic environment. Recent research of security based on big data, blockchain and machine learning has been explained through actual work by practitioners and researchers, including their technical evaluation and comparison with existing technologies. The theoretical background and experimental case studies related to real-time environment are covered as well. Aimed at Senior undergraduate students, researchers and professionals in computer science and engineering and electrical engineering, this book:
Converges Blockchain, Big Data and Machine learning in one volume.
Connects Blockchain technologies with the data centric applications such Big data and E-Health.
Easy to understand examples on how to create your own blockchain supported by case studies of blockchain in different industries.
Covers big data analytics examples using R.
Includes lllustrative examples in python for blockchain creation.
Contents
1. Introduction to Blockchain and Bigdata. 2. Block Chaining and Machine Learning. 3. Blockchain Databases 1. 4. Blockchain Databases 2. 5. Block Chain Use Cases in Big Data. 6. Blockchain Storage Platforms for Big Data. 7. Visualizing Bitcoin using BigData: Mempool Visualization, visualization, peer visualization, Attack visual analysis, High-Resolution Visualization of Bitcoin systems, Effectiveness. 8. Blockchain and Distributed Ledger System. 9. Security of Blockchain and Big Data. Chapter 10. Blockchain nd Big Data in Healthcare Sector 11. Block Chain: Sword to pierce air pollution in smart cities. 12. Test Driven Development based Your Own BlockchainCreation Using Javascript. 13. A Study on Privacy-Preserving Models Using Blockchain Technology for IoT. 14. Convergence of IoT, AI And Blockchain: Technology Pathway to Swachh Bharat. 15. Quantum Computation for Big Information Processing.
