DATA-51000 Data Mining and Analytics

This course covers techniques for knowledge extraction in very large-scale data. Students will learn how to analyze real-world datasets using different data mining techniques like document similarity detection, association rule mining, clustering, link analysis, and predictive modeling. Topics also include applications for e-advertising and recommendation systems.

Credits

3

Prerequisite

CPSC 50200 or DATA 50000, and CPSC 50100, DATA 51100, or prior programming experience, or an undergraduate degree in Computer Science