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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
發(fā)表于 2025-3-21 17:54:10 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Blockchain Intelligence
期刊簡稱Methods, Application
影響因子2023Zibin Zheng,Hong-Ning Dai,Jiajing Wu
視頻videohttp://file.papertrans.cn/190/189191/189191.mp4
發(fā)行地址Broadens readers’ understanding of blockchain and artificial intelligence.Summarises the latest studies on the integration of blockchain and artificial intelligence.Includes case studies of blockchain
圖書封面Titlebook: Blockchain Intelligence; Methods, Application Zibin Zheng,Hong-Ning Dai,Jiajing Wu Book 2021 The Editor(s) (if applicable) and The Author(s
影響因子This book focuses on using artificial intelligence (AI) to improve blockchain ecosystems. Gathering the latest advances resulting from AI in blockchain 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 encrypted blockchain data, poor scalability, software vulnerabilities, and the scarcity of appropriate incentive mechanisms. Combining AI with blockchain has the potential to overcome the limitations, and machine learning-based approaches may help to analyse blockchain data and to identify misbehaviours in blockchain. In addition, deep reinforcement learning methods can be used to improve the reliability of blockchain systems..This book focuses in the use of AI to improve blockchain systems and promote blockchain intelligence. It describes data extraction, exploration and analytics on representative blockchain systems such as Bitcoin and Ethereum. It also includes data analytics on smart contracts, misbehaviour detection on blockchain data, and mar
Pindex Book 2021
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書目名稱Blockchain Intelligence影響因子(影響力)




書目名稱Blockchain Intelligence影響因子(影響力)學(xué)科排名




書目名稱Blockchain Intelligence網(wǎng)絡(luò)公開度




書目名稱Blockchain Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Blockchain Intelligence被引頻次




書目名稱Blockchain Intelligence被引頻次學(xué)科排名




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書目名稱Blockchain Intelligence年度引用學(xué)科排名




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發(fā)表于 2025-3-21 22:40:36 | 只看該作者
Book 2021e of AI to improve blockchain systems and promote blockchain intelligence. It describes data extraction, exploration and analytics on representative blockchain systems such as Bitcoin and Ethereum. It also includes data analytics on smart contracts, misbehaviour detection on blockchain data, and mar
板凳
發(fā)表于 2025-3-22 00:48:46 | 只看該作者
Overview of Blockchain Intelligence,present an overview of blockchain intelligence. We first briefly review blockchain and smart contract technologies. We then introduce blockchain intelligence, which is essentially an amalgamation of blockchain and artificial intelligence. In particular, we discuss the opportunities of blockchain int
地板
發(fā)表于 2025-3-22 05:46:29 | 只看該作者
On-chain and Off-chain Blockchain Data Collection,he data growth brought about by the rapid development of blockchain in recent years, then analyze the data processing and exploration challenges caused by this phenomenon, and finally propose our solution XBlock-ETH, well-processed up-to-date on-chain datasets.
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發(fā)表于 2025-3-22 11:57:45 | 只看該作者
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發(fā)表于 2025-3-22 13:03:13 | 只看該作者
Intelligence-Driven Optimization of Smart Contracts,veness of smart contracts via cluster analysis and try to extract differentiated codes from the similar contracts. Differentiated codes are defined as the source codes except the repeated ones in two similar smart contracts, usually illustrating how a software feature is implemented or a programming
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發(fā)表于 2025-3-22 18:59:07 | 只看該作者
Misbehavior Detection on Blockchain Data,drance to the progress of blockchain technology. To attack on this problem, this chapter discussed about several types of misbehaviors on blockchain and data mining as an approach for identification of misbehavior on blockchain. Two practical data mining models aiming at detecting Ponzi schemes and
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發(fā)表于 2025-3-22 23:57:02 | 只看該作者
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發(fā)表于 2025-3-23 01:25:16 | 只看該作者
Open Research Directions,ng area. In this chapter, we discuss the open issues of blockchain intelligence from aspects such as federated learning on blockchain, collective intelligence bestowing blockchain, and artificial intelligence to enhance blockchain automation.
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發(fā)表于 2025-3-23 08:18:30 | 只看該作者
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