ACST 4320 - Data Warehousing and Mining

3 Class Hours 2 Laboratory Hours 4 Credit Hours
Prerequisite: ACST 3330.
This course covers concepts, techniques, and applications of data warehousing and data mining. Topics discussed in this course include: dimensional modeling, extraction-transformation-loading (ETL), Online Analytical Processing (OLAP), Data Mining Extension to SQL (DMX), Naïve Bayes, Decision Tree, Association Mining, and Clustering.