MA 384 - Data Mining
- Credit Hours: 4R–0L–4C
- Term Available: -
- Graduate Studies Eligible: No
- Prerequisites: CSSE 120 and MA 212 and MA 223 or MA 381
- Corequisites: None
An introduction to data mining for large data sets, include data preparation, exploration, aggregation/reduction, and visualization. Elementary methods for classification, association, and cluster analysis are covered. Significant attention will be given to presenting and reporting data mining results. Same as CSSE 384.