Introduction to data mining concepts and techniques, including association and correlation discovery, classification and clustering of large datasets, and outlier detection, with emphasis on algorithmic aspects and application to real-world problems.

Level

grad

Department

CAS

Credits

4

Prerequisites

CS 112 & 330 & 365