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GLIS 630 Data Mining (3 credits)

Note: This is the 2020–2021 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .

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 2021

Instructors: Fung, Benjamin (Winter)

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

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