DSA 5400 - Applied Data Mining

Credit Hours: 3

This course covers applied data mining methods on large data sets. Particular methods covered are principal components analysis, survival analysis, clustering, factor analysis, and other methods of dimension reduction. An integral part of this course is the application of database knowledge learned in the prior courses in the program. All data in this course will be stored in an appropriate relational (SQL) or document oriented (NoSQL) database. Students will then query the database for the data they will use in their analyses.