Introduction to data mining techniques, including data preprocessing, data mining primitives, association rules, decision trees, cluster analysis, classification and machine learning, data visualization, and data warehousing. Detailed applications from a wide variety of domains.

Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Course Requirements: PREQ: INFSCI 2020 (B or greater) or INFSCI 2725 (B or greater) or INFSCI Exemption-Analytics Component (Test Score 6 or higher);
Minimum Credits: 3
Maximum Credits: 3

Past Sections

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Spring 2022

Fall 2021