標(biāo)題: Titlebook: Data Science Techniques for Cryptocurrency Blockchains; Innar Liiv Book 2021 Springer Nature Singapore Pte Ltd. 2021 Data Science.Cryptocu [打印本頁] 作者: 法令 時(shí)間: 2025-3-21 18:25
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書目名稱Data Science Techniques for Cryptocurrency Blockchains讀者反饋學(xué)科排名
作者: 沒血色 時(shí)間: 2025-3-21 22:26
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 作者: 束以馬具 時(shí)間: 2025-3-22 02:53
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 作者: 修正案 時(shí)間: 2025-3-22 07:56
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 作者: 生命 時(shí)間: 2025-3-22 09:26 作者: 黑豹 時(shí)間: 2025-3-22 14:28 作者: 黑豹 時(shí)間: 2025-3-22 18:37
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作者: 全神貫注于 時(shí)間: 2025-3-22 21:42
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.作者: ADAGE 時(shí)間: 2025-3-23 04:57
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?作者: 知識(shí)分子 時(shí)間: 2025-3-23 08:49
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.作者: Ganglion 時(shí)間: 2025-3-23 10:31
Understanding the Data Model,he logical data model using entity relationship modeling are approximations. Nevertheless, the main entities—blocks, transactions, inputs, and outputs—are recurring, fundamental, and necessary building blocks for understanding the cryptocurrency blockchain data model.作者: Forsake 時(shí)間: 2025-3-23 16:51
Visualization,the latter case. This chapter will introduce the concept of information visualization, present multiple examples with smaller and larger datasets, and discuss potential applications of information visualization to cryptocurrency blockchain data.作者: neutral-posture 時(shí)間: 2025-3-23 21:54
Network Science,e, peculiarities of network data, structural properties of networks, community detection in networks, visualization of networks, and present multiple examples of potential applications to cryptocurrency blockchain data.作者: Fulsome 時(shí)間: 2025-3-23 22:12 作者: Meander 時(shí)間: 2025-3-24 06:10 作者: 取消 時(shí)間: 2025-3-24 07:54 作者: obnoxious 時(shí)間: 2025-3-24 14:02 作者: covert 時(shí)間: 2025-3-24 18:01 作者: Cytology 時(shí)間: 2025-3-24 22:41 作者: 發(fā)現(xiàn) 時(shí)間: 2025-3-25 02:43
https://doi.org/10.1007/978-3-319-61566-0e, peculiarities of network data, structural properties of networks, community detection in networks, visualization of networks, and present multiple examples of potential applications to cryptocurrency blockchain data.作者: miscreant 時(shí)間: 2025-3-25 05:31 作者: BRIEF 時(shí)間: 2025-3-25 10:08 作者: 歡騰 時(shí)間: 2025-3-25 12:21 作者: absorbed 時(shí)間: 2025-3-25 17:20
https://doi.org/10.1007/978-981-16-2418-6Data Science; Cryptocurrency; Blockchain; Analytics; Big Data; Visualization作者: 功多汁水 時(shí)間: 2025-3-25 23:59 作者: 哥哥噴涌而出 時(shí)間: 2025-3-26 00:29 作者: Gudgeon 時(shí)間: 2025-3-26 05:05 作者: Agnosia 時(shí)間: 2025-3-26 10:49 作者: 征服 時(shí)間: 2025-3-26 15:30 作者: anthesis 時(shí)間: 2025-3-26 20:39
https://doi.org/10.1007/978-3-030-02756-8SQL). 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 作者: Omniscient 時(shí)間: 2025-3-26 21:59 作者: 使服水土 時(shí)間: 2025-3-27 03:01 作者: LURE 時(shí)間: 2025-3-27 06:27
15 Gevolgen voor de behandelaarted patterns in data. Information visualization can support both unsupervised and supervised learning—visualizing some class information or labels in the latter case. This chapter will introduce the concept of information visualization, present multiple examples with smaller and larger datasets, and作者: 胰臟 時(shí)間: 2025-3-27 10:15
https://doi.org/10.1007/978-3-319-61566-0 network in general, its distinct objects or actors, and the connections between them. This chapter will introduce the basic concept of network science, peculiarities of network data, structural properties of networks, community detection in networks, visualization of networks, and present multiple 作者: 吊胃口 時(shí)間: 2025-3-27 17:03
https://doi.org/10.1007/978-3-319-93659-8Cryptocurrencies are the first successful use case of highly distributed blockchains. More specifically, Bitcoin was the first success story, demonstrating it was possible to insert and store values in the distributed and decentralized blockchain, and to append new information to it.作者: offense 時(shí)間: 2025-3-27 20:40 作者: 直言不諱 時(shí)間: 2025-3-27 23:14
Direct Communication with Enterprise Applications,ough the exercises, you will come to understand how to interact with BizTalk RFID across networks and platforms, and you should be able to apply this understanding to whatever distributed application model is needed.作者: 戰(zhàn)役 時(shí)間: 2025-3-28 02:50 作者: Physiatrist 時(shí)間: 2025-3-28 07:23
experiences that could challenge engineering students in similar ways. For nine engineers, gainingnew international knowledge challenged assumptions that engineering work and life are limited to purely technical practices, compelling explicit attention to broader value commitments. For five non-eng作者: 帶來墨水 時(shí)間: 2025-3-28 14:17
0302-9743 and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms..978-3-319-46680-4978-3-319-46681-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 糾纏,纏繞 時(shí)間: 2025-3-28 16:56 作者: Judicious 時(shí)間: 2025-3-28 21:30
he regulations and recommendations that pertain to chemical substances. The RCD? is designed to be the first reference book to consult when beginning compliance efforts. Every regulatory or advisory list used in the RCD? is keyed to its source, to help readers who need more detailed information on r作者: grovel 時(shí)間: 2025-3-29 02:17
Einleitung,fabbau (Dissimilation) und die Stoffaus Scheidung. Alle Stoffe, die von der lebenden Materie aufgenommen worden sind, fallen, nachdem sie ein wechselvolles Schicksal durchlaufen haben, schlie?lich einem Ausscheidungs-proze? anheim. Die Ausscheidungsvorg?nge bilden daher das wichtige Endglied alles S
