Introduction to the fundamental concepts of data mining. Explores motivation
for and applications of data mining and survey current techniques and models
used in data mining. Data mining development cycle and potential pitfalls of
machine learning will also be covered.
Recommended Preparation: CIS 140 or equivalent with a grade of "C" or better or "Pass".
3 UNITS; 2 hours lecture, 3 hours laboratory