Description
Data Mining
This course covers theory and practice of the analysis (mining) of extremely large datasets. With data growing at exponential rates knowledge gathering and exploration techniques are essential for gaining useful intelligence.

Prerequisites: COMP 251 or COMP 271.

Outcomes: Students will be able to define and critically analyze data mining approaches for fields such as security, healthcare, science and marketing.
Details
Grading Basis
Graded
Units
3
Component
Lecture - Required
Offering
Course
COMP 406
Academic Group
College of Arts and Sciences
Academic Organization
Computer Science
Enrollment Requirements
Restricted to Graduate Students.