Data Mining
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Overview
Subject area
CST
Catalog Number
3502
Course Title
Data Mining
Description
Theory and practice of data mining methods for extracting knowledge from data using state-of-the-artsoftware (WEKA) for solving scientific and business problems. Topics discussed in the class include: datapreprocessing, classification and prediction, association mining, cluster analysis and ethical data mining.Projects either involve research in data mining or address a practical problem using the methods and toolsintroduced in the class.
Pre- or Corequisite
033677
Liberal Arts
No
Department(s)
Credits
Minimum
3
Max
3
Components
Name
Laboratory
Contact Hours
2
Name
Lecture
Contact Hours
2