CS 456 - Data Mining

Description:
Introducing concepts, models, algorithms, and tools for solving data mining tasks; decision trees, time series, bayesian methods, k-nearest neighbors, and relational databases. CS 456 and CS 556 are layered courses; students may not receive credit for both.

Prerequisites & Notes:
Prerequisites: CS 420 and either MATH 311 or BUS 221.

Credits: (4)