Robust method of sparse feature selection for multi-label classification with Naive Bayes

Computer Science

• Feature Selection 100%
• Big Data 100%
• Feature Extraction 100%
• Multi-Label Classification 100%
• Data Mining 50%
• Single Processor 50%
• Data Preprocessing 50%
• Processing Time 50%
• Predictive Accuracy 50%
• Bayes Classifier 50%
• Incident Report 50%