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May 10, 2024
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2023-2025 Catalog Volume XXXI Ver 1
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CST 5040 Data Mining
Lecture: 3 Lab: 2 Practica: 0 Total Credits: 5
This course focuses on the core concepts, methods, and application of data mining. Primary methods of pattern discovery and cluster analysis, including hierarchical methods, density-based methods, and grid-based methods for partitioning, are covered. Topics include scalability of data set processing, dividing massive data sets into learning and testing sets, evaluating patterns, unsupervised learning, and validating findings.
Prerequisite(s): Program Admission
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