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Data Science Techniques for Cryptocurrency Blockchains (Hardcover, 1st ed. 2021)
Loot Price: R3,353
Discovery Miles 33 530
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Data Science Techniques for Cryptocurrency Blockchains (Hardcover, 1st ed. 2021)
Series: Behaviormetrics: Quantitative Approaches to Human Behavior, 9
Expected to ship within 10 - 15 working days
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This book brings together two major trends: data science and
blockchains. It is one of the first books to systematically cover
the analytics aspects of blockchains, with the goal of linking
traditional data mining research communities with novel data
sources. Data science and big data technologies can be considered
cornerstones of the data-driven digital transformation of
organizations and society. The concept of blockchain is predicted
to enable and spark transformation on par with that associated with
the invention of the Internet. Cryptocurrencies are the first
successful use case of highly distributed blockchains, like the
world wide web was to the Internet. The book takes the reader
through basic data exploration topics, proceeding systematically,
method by method, through supervised and unsupervised learning
approaches and information visualization techniques, all the way to
understanding the blockchain data from the network science
perspective. Chapters introduce the cryptocurrency blockchain data
model and methods to explore it using structured query language,
association rules, clustering, classification, visualization, and
network science. Each chapter introduces basic concepts, presents
examples with real cryptocurrency blockchain data and offers
exercises and questions for further discussion. Such an approach
intends to serve as a good starting point for undergraduate and
graduate students to learn data science topics using cryptocurrency
blockchain examples. It is also aimed at researchers and analysts
who already possess good analytical and data skills, but who do not
yet have the specific knowledge to tackle analytic questions about
blockchain transactions. The readers improve their knowledge about
the essential data science techniques in order to turn mere
transactional information into social, economic, and business
insights.
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