LEADER 03823nam  22006495  450 
001 996464412103316
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010   $a981-16-0127-5
024 7 $a10.1007/978-981-16-0127-9
035   $a(CKB)4100000011950064
035   $a(MiAaPQ)EBC6634972
035   $a(Au-PeEL)EBL6634972
035   $a(OCoLC)1253475906
035   $a(DE-He213)978-981-16-0127-9
035   $a(PPN)255887108
035   $a(EXLCZ)994100000011950064
100   $a20210531d2021      u|             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aBlockchain Intelligence$b[electronic resource] $eMethods, Applications and Challenges /$fedited by Zibin Zheng, Hong-Ning Dai, Jiajing Wu
205   $a1st ed. 2021.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021.
215   $a1 online resource (170 pages)
311   $a981-16-0126-7 
320   $aIncludes bibliographical references.
327   $aChapter 1 Overview of blockchain and smart contract -- Chapter 2 On-chain and Off-Chain Blockchain Data Collection -- Chapter 3 Analysis and Mining of Blockchain Transaction Network -- Chapter 4 Intelligence Driven Optimization of Smart Contracts -- Chapter 5 Misbehavior Detection on Blockchain Data -- Chapter 6 Market Analysis of Blockchain-based Cryptocurrencies -- Chapter 7 Open research problems.
330   $aThis 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 market analysis of blockchain-based cryptocurrencies. As such, this book provides researchers and practitioners alike with valuable insights into big data analysis of blockchain data, AI-enabled blockchain systems, and applications driven by blockchain intelligence.
606   $aBlockchains (Databases)
606   $aArtificial intelligence
606   $aData mining
606   $aSoftware engineering
606   $aBlockchain
606   $aArtificial Intelligence
606   $aData Mining and Knowledge Discovery
606   $aSoftware Engineering
615  0$aBlockchains (Databases).
615  0$aArtificial intelligence.
615  0$aData mining.
615  0$aSoftware engineering.
615 14$aBlockchain.
615 24$aArtificial Intelligence.
615 24$aData Mining and Knowledge Discovery.
615 24$aSoftware Engineering.
676   $a005.74
702   $aZheng$b Zibin
702   $aDai$b Hong-Ning
702   $aWu$b Jiajing
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a996464412103316
996   $aBlockchain intelligence$92586049
997   $aUNISA