Advanced Business Data Mining

Catalog description

Delves into advanced business data-mining techniques for analyzing complex and dynamic business data. Explores methods for extracting actionable insights from both structured and unstructured business data, including financial transactions, customer feedback, and operational metrics. Covers time series forecasting for business trends, advanced anomaly detection for risk management, and the application of deep learning and ensemble methods to enhance predictive accuracy. Practical exercises apply these techniques to real-world business challenges in dynamic environments. Enrollment Restrictions: Enrollment is restricted to students in the Master of Science in Business Analytics program. Prerequisite(s): OM 652 .