DAT 318 - Data Mining

Credits: 4

The course introduces students to the principles, methods, procedures, and tools for data mining. Topics to be covered include data extraction, cleaning, and processing; kernel methods, dimensionality reduction, sequence mining, graph mining, and clustering. Data mining has many applications in business, medicine, the environment, etc. R and Python will be used for all assignments.

Prerequisites: STAT 435 and MATH 341