Course Schedule: Results |
2019 September Semester
Apr 26, 2024 |
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| CRN 50185 Introduction to Data Mining - CPSC 673 - A1 |
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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.
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. Levels: Graduate Campus: Prince George Schedule Type: Lecture Instructional Method: On campus, face to face Credits: 3.000
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