DSBA 6162 - Data Mining

Explores knowledge discovery and data mining algorithms for data analysis, with an emphasis on techniques suitable for large datasets. Topics to be covered include Data Operations (fusion, reduction, sanitization, balancing), Association/Representative Rules, Clustering, High Dimensional & Distributed Data Mining, Dimensionality Reduction, Link Analysis, and Actionability (Action and Meta-Action Rules). Students also examine a diverse range of data mining areas such as Mining Data Streams, Web Mining, Web Advertising, Knowledge-Based Recommendation Systems, and Personalization. Throughout the course, a special focus will be placed on practical applications, showcasing diverse examples from fields like healthcare and business.

Credit Hours: (3)
Restriction(s): Full graduate standing and enrollment in the DSBA M.S. or Graduate Certificate program.
Prerequisite(s): DSBA 6160
Cross-listed Course(s): HCIP 6162, ITCS 6162, ITIS 6162

Schedule of Classes