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Blockchain Fundamentals, Data Structures, and Algorithms for Data Science - Cuneyt Gurcan  Akcora

Blockchain Fundamentals, Data Structures, and Algorithms for Data Science

By: Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu

Hardcover | 13 August 2026

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Hardcover


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Available: 13th August 2026

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Offering a systematic exploration of blockchain networks from both technical and analytical viewpoints, this book introduces the core structures that underpin blockchain systems, transactions, addresses, and smart contracts and explains how these can be modeled, visualized, and analyzed using modern data science methods. Bridging computer science, finance, and statistics, it integrates algorithmic reasoning with economic intuition to study decentralization, risk, and trust in digital economies. Through examples drawn from Bitcoin, Ethereum, Ripple, Monero, Zcash, IOTA, and DeFi, readers learn how blockchain data can be transformed into graph and temporal models for fraud detection, systemic risk analysis, and network behavior prediction. Featuring clear explanations, illustrative figures, and Solidity code, this volume serves as an essential reference for students, researchers, and practitioners in finance, data science, statistics, machine learning, and distributed systems.

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