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Titlebook: Data Science Techniques for Cryptocurrency Blockchains; Innar Liiv Book 2021 Springer Nature Singapore Pte Ltd. 2021 Data Science.Cryptocu

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發(fā)表于 2025-3-21 18:25:22 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Data Science Techniques for Cryptocurrency Blockchains
編輯Innar Liiv
視頻videohttp://file.papertrans.cn/264/263070/263070.mp4
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
叢書名稱Behaviormetrics: Quantitative Approaches to Human Behavior
圖書封面Titlebook: Data Science Techniques for Cryptocurrency Blockchains;  Innar Liiv Book 2021 Springer Nature Singapore Pte Ltd. 2021 Data Science.Cryptocu
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
關(guān)鍵詞Data Science; Cryptocurrency; Blockchain; Analytics; Big Data; Visualization
版次1
doihttps://doi.org/10.1007/978-981-16-2418-6
isbn_softcover978-981-16-2420-9
isbn_ebook978-981-16-2418-6Series ISSN 2524-4027 Series E-ISSN 2524-4035
issn_series 2524-4027
copyrightSpringer Nature Singapore Pte Ltd. 2021
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 22:26:00 | 只看該作者
Exploration with Structured Query Language,SQL). For all queries, there are multiple ways to retrieve similar information from the database. The goal of this chapter is not to find shortest or most efficient versions of those queries, but to encourage the reader to further understand and explore the internal structure of and data within the
板凳
發(fā)表于 2025-3-22 02:53:19 | 只看該作者
Association Rules,sociation rules—and its first step, frequent pattern mining—have been a popular data science technique for almost three decades. As it was originally popularized in retailing applications, it is often also referred to as market basket analysis. This chapter will introduce the concept of association
地板
發(fā)表于 2025-3-22 07:56:04 | 只看該作者
Classification,led dataset and new, unseen instances. Classification has been a popular data science technique in a variety of disciplines for a century, and, especially since the advancement of computing power and the emergence of novel deep learning methods, it has even been (misleadingly) considered synonymous
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發(fā)表于 2025-3-22 09:26:30 | 只看該作者
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發(fā)表于 2025-3-22 14:28:25 | 只看該作者
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發(fā)表于 2025-3-22 18:37:36 | 只看該作者
Book 2021of 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 enabl
8#
發(fā)表于 2025-3-22 21:42:32 | 只看該作者
Exploration with Structured Query Language,blockchain. The chapter offers 50 queries to explore the blockchain data structure using SQL. The first queries are presented as examples of how to retrieve information about the blockchain from different angles. The second set is exercises for study or group discussion.
9#
發(fā)表于 2025-3-23 04:57:45 | 只看該作者
Association Rules,rule mining and discuss potential applications to cryptocurrency blockchain data: what kind of pre-processing is necessary to transform the data to be compliant to typical inputs of association rules mining and what kinds of patterns could be found with this approach?
10#
發(fā)表于 2025-3-23 08:49:37 | 只看該作者
Classification,with data science and machine learning. This chapter will introduce the basic concept of classification, present multiple examples, and discuss potential applications for cryptocurrency blockchain data.
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