CS 522 Data Mining

Prerequisites: MATH 500 and CS 519. Introduces basic principles and methods for data analysis and knowledge discovery to computer science students. Topics include preprocessing, association, classification and anomaly detection. Students develop basic skills for modeling and performance evaluation.

Credits

3.0

Cross Listed Courses

Double-numbered course; offered with undergraduate-level CS 422

Offered

Fall Semester