Data Mining Meets Blockchain: A Systematic Review of Techniques, Challenges, and Emerging Applications
Authors
Raja M, Department of Computer and Information Science, Faculty of Science, Annamalai University, Chidambaram, Tamil Nadu (India)
Department of Computer and Information Science, Faculty of Science, Annamalai University, Chidambaram, Tamil Nadu (India)
Article Information
DOI: 10.51584/IJRIAS.2026.11010044
Subject Category: Data Mining
Volume/Issue: 11/1 | Page No: 520-530
Publication Timeline
Submitted: 2026-01-17
Accepted: 2026-01-22
Published: 2026-02-01
Abstract
Data mining and blockchain have emerged as two transformative technological paradigms in modern computing. Data mining supports knowledge extraction from large-scale datasets, while blockchain ensures secure, transparent, and immutable data storage. Their integration promises innovative solutions to critical issues such as privacy, trust, scalability, and distributed decision-making. This survey provides an extensive review of core data mining techniques, blockchain fundamentals, and the emerging trend of combining the two fields. It highlights recent advancements, applications, challenges, and future research opportunities in blockchain-driven data analytics and data-mining-enabled blockchain systems.
Keywords
Data Mining, Blockchain, Security, Federated Learning
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