ANA665 Data Mining & Machine Learning
Lead Faculty: Dr. Jodi Reeves
This advanced data mining course focuses on various machine learning and artificial intelligence techniques. Topics include data mining methods ranging from classification rules, association rules, and instance-based learning to semi-supervised learning and multi-instance learning.
- Assess input, output, and algorithms involved in data mining.
- Evaluate the quality of what has been learned after a data mining session.
- Analyze and synthesize different machine learning schemes for data mining.
- Perform ensemble learning in an analytic application.