| 书目名称 | Data Science Techniques for Cryptocurrency Blockchains |
| 编辑 | Innar Liiv |
| 视频video | |
| 概述 | Brings together two major trends: data science and blockchains.Is the first book to systematically cover analytics aspects of blockchains.Links traditional data mining research communities with novel |
| 丛书名称 | Behaviormetrics: Quantitative Approaches to Human Behavior |
| 图书封面 |  |
| 描述 | .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 b |
| 出版日期 | Book 2021 |
| 关键词 | Data Science; Cryptocurrency; Blockchain; Analytics; Big Data; Visualization |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-16-2418-6 |
| isbn_softcover | 978-981-16-2420-9 |
| isbn_ebook | 978-981-16-2418-6Series ISSN 2524-4027 Series E-ISSN 2524-4035 |
| issn_series | 2524-4027 |
| copyright | Springer Nature Singapore Pte Ltd. 2021 |
发表于 2025-3-21 18:25:22
