UMass Boston

Course Overview

Description

As organizations have become more and more readily able to collect massive quantities of data, they are increasingly recognizing data as one of their most valuable assets. Many organizations consider their ability to acquire data, utilize data mining, and build predictive models as key core competencies, and many are realizing benefits from fact-based decision-making. For those ends, data mining is used to find patterns and relationships that lie within data, and to build predictive models for fact-based decision-making. This course covers data mining algorithms in depth, including techniques for classification, association, and clustering. It also covers techniques for mining text data, such as Latent Semantic Analysis and Latent Dirichlet Allocation. This course focuses real world applications to develop the understanding of appropriate approaches for gathering data and use data mining algorithms to build effective predictive models.