Joshua Adiele
Department of Computer Science and Informatics, Federal University Otuoke, Bayelsa State, Nigeria
Publications
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Research Article
Data Mining Systems and Platforms: Efficiency, Scalability, and Privacy
Author(s): Joshua Adiele*
Modern data mining systems face increasing demands for performance, scalability, and privacy preservation. As data volumes grow exponentially, platforms must evolve to support distributed architectures, real-time analytics, and secure processing. This paper presents a comprehensive study of current data mining platforms, evaluating their efficiency, scalability strategies, and privacy-preserving mechanisms. We propose a modular framework that integrates parallel processing, federated learning, and differential privacy to enhance system robustness. Experimental results on benchmark datasets demonstrate significant improvements in throughput and privacy compliance, offering a roadmap for next-generation data mining platforms... Read More»

