Course Detail
Units:
3.0
Course Components:
Lecture
Enrollment Information
Enrollment Requirement:
Prerequisites: 'C-' or better in IS 4420 AND (Full Major or Minor status in Information Systems OR Full Major status in Quantitative Analysis of Markets & Organizations OR Full Minor status in Business Analytics)
Description
This course introduces the concepts, process, implementation, evaluation and issues of the basic methods for the widely adopted data mining tasks - classification, prediction, clustering and association rule modeling. Students will learn how to apply , improve, evaluate and explain these data mining models for real world applications.