£105.00

CRC Press Blockchain, Big Data and Machine Learning: Trends and Applications

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Description

Product 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. About the Author Neeraj Kumar (M’16–SM’18) received the Ph.D. degree in computer science engineering from Shri Mata Vaishno Devi University, Katra, India. He was a Postdoctoral Research Fellow with Coventry University, Coventry, U.K. He is currently an Associate Professor with the Department of Computer Science and Engineering, Thapar University, Patiala, India. He has athored or co-authored more than 300 technical research papers in leading journals and conferences from IEEE, Elsevier, Springer, John Wiley and others. Some of his research findings are published in top cited journals such as IEEE TIE, IEEE TDSC, IEEE TITS, IEEE TCC, IEEE TKDE, IEEE TVT, IEEE TCE, IEEE Netw., IEEE Comm., IEEE WC, IEEE IoTJ, IEEE SJ, FGCS, JNCA, and ComCom. He has guided many Ph.D. and M.E./M.Tech. students. His research is supported by fundings from Tata Consultancy Service, Council of Scientific and Industrial Research, and Department of Science and Technology. He was the recipient of the Best Research Paper awards from IEEE ICC 2018 and IEEE Systems Journal 2018. He is leading the research group Sustainable Practices for Internet of Energy and Security (SPINES) where group members are working on the latest cutting-edge technologies. He is a TPC member and reviewer of many international conferences across the globe. He is a visiting Professor at Coventry University, Coventry, U.K. He is in the editorial board of JNCA, Elsevier, IEEE Communication Magazine, IJCS, Wiley, IEEE Networks, Computer Communications, and Security & Privacy, Wiley. He has more than 5000 citations to his credit with current h-index 39. He has more than 6 crores of research funding from different govt organizations and industry. He has edited 2 books, more than 15 special issues of different journals. N. Gayathri received her B. Tech as well as M. Tech. degree in Computer Science and Engineering from Thiagarajar College of Engineering, Madurai, India. She is currently working as an Assistant Professor in Galgotias University, Greater Noida, Uttar Pradesh. Her research interests include cloud computing, Big Data Analytic and network security. She has published more than 20 international journals papers and contributed book chapters. Md Arafatur Rahman received his Ph.D. degree in Electronic and Telecommunications Engineering from the University of Naples Federico II, Naples, Italy in 2013. He has more than 10 years Research and Teaching experience in the domain of Computer and Communications Engineering. Currently, he is a Senior Lecturer (equivalent to Assistant Professor) with the Faculty of Computer Systems & Software Engineering, University Malaysia Pahang, where he has conducted Undergraduate and Masters Courses and supervised more than 10 B.Sc., 4 M.Sc. and 3 PhD students. He worked as a Postdoctoral Research Fellow with University

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
25 September 2020
Listed Since
12 March 2020

Barcode

No barcode data available

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