Zuherman Rustam

Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

Classification models combined with Boruta feature selection for heart disease prediction

Naïve Bayes Classifier and Particle Swarm Optimization Feature Selection Method for Classifying Intrusion Detection System Dataset

Feature Selection using Random Forest Classifier for Predicting Prostate Cancer