CST 426 - Actionable Knowledge Mining

When Offered: F, SS

3 Credit(s)
3 Lecture Hour(s)
0 Lab Hour(s)

This course introduces advanced information technologies for extracting non-trivial, actionable and novel knowledge from data for organizational decision-making. Topics cover mining classification rules, association rules, clustering and anomaly.

Prerequisite(s): CST 325.