GLIS 630 Data Mining (3 credits)

Offered by: Information Studies (Faculty of Arts)

Administered by: Graduate Studies

Overview

Library & Information Studies : Introduction to data mining. Topics include data preprocessing, data warehouse architecture, online analytical processing (OLAP), online analytical mining (OLAM), basic concepts and methods of frequent patterns mining, association rules mining, classification analysis, cluster analysis, and text mining.

Terms: Winter 2020

Instructors: There are no professors associated with this course for the 2019-2020 academic year.

  • Prerequisite: GLIS 617 or basic knowledge of database systems.