CSCE 474/874: Introduction to Data Mining

Prereqs: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H; STAT 380, ECEN 305 or RAIK 270H.
CSCE 474/874 requires the completion of a project involving the application of data mining techniques to real-world problems.
Data mining and knowledge discovery methods and their application to real-world problems. Algorithmic and systems issues. Statistical foundations, association discovery, classification, prediction, clustering, spatial data mining and advanced techniques.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom