Data Mining and Warehousing introduces students to the concepts and techniques for storing, managing, and analyzing large datasets. It covers data warehousing, data preprocessing, and mining techniques such as classification, clustering, regression, and association rule mining to discover useful patterns and support data-driven decision-making.
- Faculty: Palmaera, Janice