Data Science Techniques for Cryptocurrency Blockchains

This book combines data science and blockchain to provide a comprehensive guide to analyzing blockchain data. It covers topics such as data exploration, supervised and unsupervised learning, and information visualization, and introduces the cryptocurrency blockchain data model. It is designed for undergraduate and graduate students, researchers, and analysts who want to learn data science techniques to turn transactional information into insights.

Format: Hardback
Length: 111 pages
Publication date: 24 June 2021
Publisher: Springer Verlag, Singapore

This comprehensive book explores the intersection of two rapidly evolving fields: data science and blockchain technology. As one of the pioneering works in this domain, it aims to bridge the gap between traditional data mining research communities and the emerging world of blockchain data. By delving into the analytics aspects of blockchain, the book seeks to facilitate the integration of novel data sources into existing research paradigms.

Data science and big data technologies have emerged as pivotal components of the data-driven digital transformation sweeping across organizations and society. The concept of blockchain, with its distributed ledger and decentralized nature, holds the potential to revolutionize the way we interact and transact. Cryptocurrencies, as the first successful application of highly distributed blockchains, have already demonstrated the transformative power of this technology.

The book takes the reader on a journey through the fundamentals of data exploration, systematically covering supervised and unsupervised learning approaches, as well as information visualization techniques. It progresses from basic concepts to understanding blockchain data from a network science perspective. Chapters introduce the cryptocurrency blockchain data model and provide methods for exploring it using structured query language, association rules, clustering, classification, visualization, and network science. Each chapter presents essential concepts, showcases real-world cryptocurrency blockchain data, and includes exercises and questions for further discussion.

The book's approach is designed to serve as a valuable resource for undergraduate and graduate students seeking to learn data science topics through the lens of cryptocurrency blockchain examples. It also caters to researchers and analysts with strong analytical and data skills but who need to acquire specific knowledge to address analytic questions related to blockchain transactions. By enhancing their understanding of essential data science techniques, readers can gain a competitive edge in this rapidly evolving field.

In conclusion, this book is a groundbreaking contribution to the field of data science and blockchain technology. By bridging the gap between traditional data mining and blockchain analytics, it empowers readers to unlock the full potential of this revolutionary technology and drive meaningful change in their respective industries.

Weight: 454g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811624179
Edition number: 1st ed. 2021