COMP 468 - Introduction to Data Mining (formerly COMP 567)

When Offered: F, S, SS

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

This course introduces the modern computer application of data mining. The theory of data mining is presented as well as applications of its principles in industry. This course covers the basics of techniques and applications such as cluster detection, market basket analysis, decision tree derivation, genetic algorithms, artificial neural networks, memory-based reasoning, and data warehouses. Students learn a variety of algorithms for discovering meaningful patterns and rules in large quantities of data.

Prerequisite(s): COMP 280.