Course Description

Computer Science 412a/b Data Mining and its Applications

Databases and data warehouses; on-line analytic processing (OLAP); applications of data mining in business intelligence, e-business, and bioinformatics; various inductive learning algorithms; clustering and learning associations; solving real-world problems with data mining.

Antirequisite: Computer Science 435a if taken in Winter 2002.

Prerequisites: Computer Science 319a/b and 346a/b; Statistical Sciences 222a/b or 241a/b or Biology 244a.

3 lecture hours, half course.

Academic Calendar