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CPSC 473 - 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 a course project.
Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Final Exam
CPSC 281 Minimum Grade of D- and CPSC 340 Minimum Grade of D- |
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