Detailed Course Information |
Fall 2021
May 09, 2025 |
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| CMPS 453 - Data mining |
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Principles concepts of data mining techniques and their practical application in pattern recognition and knowledge discovery from large data sets. Fundamental strategies and methodologies of various classification, clustering, association rules extraction algorithms applied on tabular data sets. Hands-on experience with a variety of different data mining tools.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Computer Science & Engineering Department Course Attributes: Engineering Course (TUI) Prerequisites: Undergraduate level GENG 200 Minimum Grade of D and Undergraduate level CMPS 351 Minimum Grade of D |
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