Supardianto

A Dual-Pipeline Imbalance-Robust Framework for SMS Spam Detection: Achieving Flawless Precision via SMOTE-Augmented Ensembles with Rigorous Statistical Validation

This study presents a rigorous dual-pipeline machine learning framework that systematically addresses the challenges of class imbalance in statistical text mining and establishes a highly scalable, mathematically verified, and low-latency solution suitable for integration into real-time telecom filtering gateways.