ISE 535 Data Mining

Units: 4
Terms Offered: FaSpSm

Data preprocessing, data cleaning, data summarization, dimension reduction, data visualization, anomaly detection, classification and clustering. Modeling dependencies using association rules.
Recommended Preparation: Engineering statistics at the level of ISE 225; working knowledge of a programming language on the level of ISE 150.
Instruction Mode: Lecture
Grading Option: Letter