UMass Boston

Course Overview

Description

One of premiere challenges businesses face today is how to take advantage of the vast amounts of data they can easily collect. Data mining is used to find patterns and relationships in data, and is integral to business analytics and fact-based decision-making. This course covers current data mining and predictive modeling techniques including algorithms for classification, association, and clustering; the course also covers text mining techniques such as Latent Semantic Analysis and Latent Dirichlet allocation. Current software tools will be introduced to apply data mining techniques with approaches used for building effective models, such as sampling strategies, data transformation, feature selection and ensemble methods, will be incorporated. The techniques and approaches covered int his course will be examined in the context of current research and methodological use in the field of Information Systems.