CSSE 386 - Data Mining with Programming
- Credit Hours: 4R-0L-4C
- Term Available: -
- Graduate Studies Eligible: No
- Prerequisites: CSSE 220 and CSSE 280, and either MA 212 or MA 221, and either MA 223 or MA 381
- Corequisites: None
An introduction to data mining for large data sets, including 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. Students may not get credit for both this course and also the MA 384 Data Mining course.