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CSC 470 - Topics in Computer Science - Topic:Intro to Data Mining

Campus: Springfield


Various topics; description changes according to topic offered. See course schedule for prerequisites. Course Information: May be repeated if topics vary. Students may register in more than one section per term.

Special Instructions:

This course begins with a general overview of the mathematical and statistical techniques used in data mining. The focus then shifts to six content areas: data preprocessing, visualization, predictive modeling, association analysis, clustering, and anomaly detection. The goal of the course is to provide the student with a basic foundation in the field of data mining. Prereq: 275 or equivalent. Requires Departmental Approval

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 4

Term(s): Spring


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