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2022 September Semester
Jul 05, 2022
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Information Select the desired Level or Schedule Type to find available classes for the course.

CPSC 673 - Introduction to Data Mining
This course introduces algorithms and paradigms that allow computers to discover previously hidden patterns in databases or datasets. Main topics include discovery of frequent patterns, analysis of different types of data (static, dynamic, sequential, uncertain, etc.) clustering and classification. Other topics may include data visualization, social network mining, real-life applications, and parallel/distributed data mining. Students work on assignments, term tests and an individual course project.
Credits: 3.000

Levels: Graduate
Schedule Types: Lecture, Final Exam

Precluded: CPSC-473
Students cannot receive credit for the course being described and the course(s) listed as Precluded
Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate

Information

Green prerequisites must be completed before registering in this course

Red prerequisites can be taken concurrently with this course

Magenta co-requisites must be taken at the same time as this course

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