This 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 environments. Recent research on security based on big data, blockchain, and machine learning is covered, with technical evaluations and comparisons with existing technologies. Aimed at senior undergraduate students, researchers, and professionals in computer science and engineering and electrical engineering, the book connects Blockchain technologies with data centric applications and includes easy-to-understand examples on creating your own blockchain supported by case studies in different industries. It also covers big data analytics examples using R and illustrative examples in Python for blockchain creation. Format: Hardback Length: 346 pages Publication date: 25 September 2020 Publisher: Taylor & Francis Ltd This comprehensive book explores cutting-edge paradigms in Blockchain, Big Data, and Machine Learning, encompassing their diverse applications and case studies. It delves into the realm of dead fusion, a crucial aspect in ensuring the privacy and security of blockchain-based data analytic environments. Through real-world examples and technical evaluations, the book sheds light on recent research in security, leveraging big data, blockchain, and machine learning. It encompasses a theoretical foundation and experimental case studies, focusing on real-time environments. Designed for senior undergraduate students, researchers, and professionals in computer science and engineering, as well as electrical engineering, this book serves as a valuable resource. It seamlessly integrates Blockchain, Big Data, and Machine Learning, connecting them with data-centric applications like Big Data and E-Health. Clear and concise explanations accompany easy-to-follow examples, empowering readers to create their own blockchain-supported systems through practical case studies across various industries. Additionally, the book includes illustrative examples in Python for blockchain creation, enhancing its accessibility and practicality. By encompassing a wide range of topics, this book equips readers with the knowledge and skills necessary to navigate the evolving landscape of Blockchain, Big Data, and Machine Learning. Weight: 684g Dimension: 162 x 240 x 27 (mm) ISBN-13: 9780367370688
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