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.
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.
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