Data science techniques for cryptocurrency blockchains /

Saved in:

Bibliographic Details
Author / Creator:	Liiv, Innar, author.
Imprint:	Singapore : Springer, [2021]
Description:	1 online resource : illustrations (some color).
Language:	English
Series:	Behaviormetrics: quantitative approaches to human behavior ; volume 9 Behaviormetrics: quantitative approaches to human behavior ; volume 9.
Subject:	Blockchains (Databases) Cryptocurrencies. Data mining. Blockchains (Databases) Cryptocurrencies. Data mining.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12613459

Hidden Bibliographic Details
ISBN:	9789811624186 9811624186 9811624178 9789811624179
Notes:	Includes bibliographical references and index.
Summary:	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.
Other form:	Print version: 9811624178 9789811624179
Standard no.:	10.1007/978-981-16-2418-6

Similar Items