You're reading from Data Science for Web3

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Published inDec 2023

PublisherPackt

ISBN-139781837637546

Edition1st Edition

Concepts

Data Science

Author (1)

Gabriela Castillo Areco

PwC. (2022). PwC’s Global Economic Crime and Fraud Survey 2022. https://www.pwc.com/gx/en/forensics/gecsm-2022/PwC-Global-Economic-Crime-and-Fraud-Survey-2022.pdf
Furneaux, N. (2018). Investigating cryptocurrencies: Understanding, extracting, and analyzing blockchain evidence. John Wiley & Sons. Page 268.
Sfarrugia15/Ethereum_Fraud_Detection. (n.d.). GitHub: https://github.com/sfarrugia15/Ethereum_Fraud_Detection
Steven Farrugia, Joshua Ellul, George Azzopardi, Detection of illicit accounts over the Ethereum blockchain, Expert Systems with Applications, volume 150, 2020, 113318, ISSN 0957-4174: https://doi.org/10.1016/j.eswa.2020.113318.
Exploiting Blockchain data to detect Smart Contract Ponzi Schemes on Ethereum. (2019, March 18). IEEE Xplore: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8668768
Ethereum security and scam prevention. (n.d.). ethereum.org...

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Data Science for Web3

Published in: Dec 2023Publisher: PacktISBN-13: 9781837637546

Author (1)

Gabriela Castillo Areco

Gabriela Castillo Areco holds an M.Sc. in big data science from the TECNUM School of Engineering, University of Navarra. With extensive experience in both the business and data facets of blockchain technology, Gabriela has undertaken roles as a data scientist, machine learning analyst, and blockchain consultant in both large corporations and small ventures. She served as a professor of new crypto businesses at Torcuato di Tella University and is currently a member of the BizOps data team at IOV Labs.
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