CS 537 Introduction to Data Mining

Introduces fundamental concepts and methodologies in data mining. Covers the types, attributes and quality of data and gives an overview of data mining algorithms in various real-world tasks, e.g., clustering, classification, regression, and outlier detection. Prepares students to build a whole data mining pipeline, from data preprocessing and model training to model testing and validation.

Credits

3

Slash Listed Courses

Also offered for undergraduate-level credit as CS 437 and may be taken only once for credit.

Prerequisite

Graduate Standing.