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_c361520 _d361520 |
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| 001 | 361520 | ||
| 003 | ES-MaUEC | ||
| 005 | 20240130160954.0 | ||
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| 007 | cr nn nnnaamaa | ||
| 008 | 210531s2021 si | s |||| 0|eng d | ||
| 020 | _a9789811601279 | ||
| 024 | 7 |
_a10.1007/978-981-16-0127-9 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQ335 _b2021 EB |
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| 245 | 0 | 0 |
_aBlockchain Intelligence : _bMethods, Applications and Challenges _cedited by Zibin Zheng, Hong-Ning Dai, Jiajing Wu |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publising _c2021 |
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| 300 |
_a1 recurso en línea (IX, 166 páginas) _b59 ilustraciones, 47 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 | _aComputer Science (SpringerNature-11645) | |
| 490 | 0 | _aComputer Science (R0) (SpringerNature-43710) | |
| 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 | 3 | _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. | |
| 988 | _aSpringer_Computer_2021 | ||
| 650 | 7 |
_2embne _aInteligencia artificial _9413115 |
|
| 650 | 7 |
_9683317 _aBlockchains _2embne |
|
| 700 | 1 |
_aZheng, Zibin _eeditor literario |
|
| 700 | 1 |
_aDai, Hong-Ning _eeditor literario |
|
| 700 | 1 |
_aWu, Jiajing _eeditor literario |
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| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-0127-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b02/2022 _dz _eu _zSI |
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