CSC 470 - Topics in Computer Science - Topic:Intro to Data Mining
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.
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 1Number of Required Visit(s): 0
Course Level: Graduate