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Blockchain Fundamentals, Data Structures, and Algorithms for Data Science - Rilegato

Akçora, Cüneyt Gürcan; Kantarcioglu, Murat; Gel, Yulia R.

 
9781316518946: Blockchain Fundamentals, Data Structures, and Algorithms for Data Science

Sinossi

A comprehensive guide to blockchain networks through the lens of data science, algorithms, and financial system modeling.

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Informazioni sugli autori

Cüneyt Gürcan Akçora is Associate Professor of Finance with a joint appointment in Computer Science at the University of Central Florida in Orlando. He is also a member of the university's AI Institute. His research focuses on data science for blockchains, integrating graph machine learning, temporal modeling, and network theory to study risk, fraud, and systemic behavior in decentralized finance.

Murat Kantarcioglu is Professor and CCI Faculty Fellow in the Department of Computer Science at Virginia Tech. He is also a Faculty Associate at Harvard University's Data Privacy Lab. He is a fellow of the American Association for the Advancement of Science. His research focuses on AI for cybersecurity and cybersecurity for AI, integrating data science and blockchain technologies to design secure and efficient data systems.

Yulia R. Gel is Professor of Statistics at Virginia Tech. She is a Fellow of the American Statistical Association and a recipient of the NSF Director's Award for Superior Accomplishment. Her research focuses on the mathematical and statistical foundations of data science, risk quantification, and topological and geometric methods for blockchain data analytics.

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