ITCS 6162 - Data Mining

Exploration of knowledge discovery and data mining algorithms for data analysis, with an emphasis on techniques suitable for large datasets. Topics 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). The curriculum also spans 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)
Cross-listed Course(s): DSBA 6162, HCIP 6162, ITIS 6162

Schedule of Classes