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024 7 _a10.1007/978-981-16-0127-9
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082 0 4 _a005.824
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245 1 0 _aBlockchain Intelligence
_h[electronic resource] :
_bMethods, Applications and Challenges /
_cedited by Zibin Zheng, Hong-Ning Dai, Jiajing Wu.
250 _a1st ed. 2021.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2021.
300 _aIX, 166 p. 59 illus., 47 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _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.
520 _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.
650 0 _aBlockchains (Databases).
650 0 _aArtificial intelligence.
650 0 _aData mining.
650 0 _aSoftware engineering.
650 1 4 _aBlockchain.
650 2 4 _aArtificial Intelligence.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aSoftware Engineering.
700 1 _aZheng, Zibin.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDai, Hong-Ning.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWu, Jiajing.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811601262
776 0 8 _iPrinted edition:
_z9789811601286
776 0 8 _iPrinted edition:
_z9789811601293
856 4 0 _uhttps://doi.org/10.1007/978-981-16-0127-9
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c177492
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