MSA 540 - Data and Text Mining (3 cr.)

This course will provide the basic framework for conducting various data and text mining methodologies, including logistic regression analyses, classical discriminant analyses, association rule, decision tree, support vector machine, neural networks, variable reduction, cluster analyses, text analytics, and web mining. Emphasis will be on the appropriateness of methods, data visualization, how to resolve common issues, and use of data for generating output and interpretation, all in an attempt to give you hands-on experience and to aid you in the decision making process with applications in business intelligence, customer relationship management, fraud and lie detection, improvement of resource utilization, clickstream web mining, and credit scoring for loan applications. The ultimate goal is to enhance your appreciation of the idea that companies must be analytics competitors in order to be and stay competitive.
Prerequisite(s): MSA 500, MSA 510.
Corequisite(s): MSA 520
Semester(s) Offered: Fall