Introduction to Data Mining and Data Warehousing

3 credits · Undergraduate

This course reviews main concepts in data mining and data warehouses including objectives, architectures, algorithms, implementations, and applications. The topics covered include operational information process, decision-oriented information process, data warehousing and On-Line Analytical Process (OLAP), characterization mining, association rule mining, classification and predication and clustering. Selected system tools for data mining and data warehousing are introduced. PREREQUISITES: CSCI 2110.03 and CSCI 2141.03, each with a grade of C or higher.