BUS 348 - Data Mining II

Credits: (3)
Continues the approach of Data Mining I in exploring and analyzing large datasets with the goal of discovering meaningful patterns and rules. This course investigates additional supervised learning techniques and introduces unsupervised techniques. Additional topics, including time-series forecasting, social network analytics, and text mining, will be investigated, time permitting. Students will use modern data mining software to analyze datasets. Prerequisite(s): BUS 347 Data Mining I (3) must be passed with a grade of C- or higher (Fall).