CS 02605 - Data Mining II

Credits: 3

This course follows Data Mining I which is designed to train students in the necessary algorithms for extracting intelligence from large datasets. In Data Mining II, more advanced topics are covered including advanced clustering techniques, Principal Component Analysis, Naïve Bayes clustering and other techniques.

Prerequisite Courses: CS 02505 with a minimum grade of D-
Course Attributes: GCAT, GRAD
Academic Department: Computer Science