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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 2025-3-26 21:59:51 | 只看該作者
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發(fā)表于 2025-3-27 06:27:45 | 只看該作者
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
34#
發(fā)表于 2025-3-27 10:15:19 | 只看該作者
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
35#
發(fā)表于 2025-3-27 17:03:46 | 只看該作者
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.
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發(fā)表于 2025-3-27 20:40:52 | 只看該作者
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發(fā)表于 2025-3-27 23:14:24 | 只看該作者
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.
38#
發(fā)表于 2025-3-28 02:50:25 | 只看該作者
39#
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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
40#
發(fā)表于 2025-3-28 14:17:25 | 只看該作者
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
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