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Titlebook: Blockchain Intelligence; Methods, Application Zibin Zheng,Hong-Ning Dai,Jiajing Wu Book 2021 The Editor(s) (if applicable) and The Author(s

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樓主: APL
11#
發(fā)表于 2025-3-23 12:58:15 | 只看該作者
https://doi.org/10.1007/978-3-031-03887-7ligence, which is essentially an amalgamation of blockchain and artificial intelligence. In particular, we discuss the opportunities of blockchain intelligence to address the limitations of blockchain and smart contracts.
12#
發(fā)表于 2025-3-23 16:24:43 | 只看該作者
https://doi.org/10.1007/978-3-031-32921-0nd data mining as an approach for identification of misbehavior on blockchain. Two practical data mining models aiming at detecting Ponzi schemes and phishing scams on Ethereum are proposed and detailed evaluations are conducted.
13#
發(fā)表于 2025-3-23 22:04:26 | 只看該作者
14#
發(fā)表于 2025-3-23 22:34:09 | 只看該作者
Overview of Blockchain Intelligence,ligence, which is essentially an amalgamation of blockchain and artificial intelligence. In particular, we discuss the opportunities of blockchain intelligence to address the limitations of blockchain and smart contracts.
15#
發(fā)表于 2025-3-24 06:00:04 | 只看該作者
Misbehavior Detection on Blockchain Data,nd data mining as an approach for identification of misbehavior on blockchain. Two practical data mining models aiming at detecting Ponzi schemes and phishing scams on Ethereum are proposed and detailed evaluations are conducted.
16#
發(fā)表于 2025-3-24 08:16:24 | 只看該作者
17#
發(fā)表于 2025-3-24 12:18:20 | 只看該作者
https://doi.org/10.1007/978-3-031-03887-7orating both temporal and weighted information of the edges. Moreover, we also design several flexible temporal walk strategies for random-walk based graph representation of this large-scale network and study the Ethereum transaction tracking problem and the evolution factors of transaction network via link prediction from the network perspective.
18#
發(fā)表于 2025-3-24 15:06:50 | 只看該作者
19#
發(fā)表于 2025-3-24 21:00:13 | 只看該作者
https://doi.org/10.1007/978-3-031-03887-7 issue is solved. Then, a differentiated code might be used to guide the update of a smart contract in its next version. Finally, we apply syntax and semantic similarities to discover its similar smart contracts from more than 120,000 smart contracts, and recommend the differentiated codes to the target smart contracts.
20#
發(fā)表于 2025-3-25 00:29:05 | 只看該作者
Book 2021n data analytics, it also presents big data research on blockchain systems..Despite blockchain‘s merits of decentralisation, immutability, non-repudiation and traceability, the development of blockchain technology has faced a number of challenges, such as the difficulty of data analytics on encrypte
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