K. Pazhanikumar

AI-Driven Big Data Classification: A Taxonomy of Learning Paradigms, Scalability Approaches, and Emerging Research Directions

A taxonomy of existing methods into supervised and instance-based learning, deep and hybrid architectures, and imbalance-aware learning based on resampling is proposed, and a research-gap table identifies open issues in interpretability, cross-domain transfer, and energy-aware computation.