Days and Times: We 12:00-2:50pm
Room: 403 Information Sciences Building
Instructor: Yuru Lin

Days and Times: Th 6:00-8:50pm
Room: A221 Langley Hall
Instructor: TBA

Prerequisites: INFSCI 2020 (B or greater) or INFSCI 2725 (B or greater) or INFSCI Exemption-Analytics Component (Test Score 6 or higher)
This course is a pre-approved elective for Fall Term 2018.

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.