Data Mining

Catalog description

The course objective is to ensure that students gain knowledge and skills to recognize opportunities for data mining approaches and exploit the results. The course utilizes an applied approach to data mining concepts and methods including specific methods used for different domains of data such as text data, time-series data, sequence data, graph data, and spatial data. The course also covers applications such as stream mining, Web mining, ranking, recommendations, social networks, and privacy preservation. Prerequisites: CS 201, DATA 101, DATA-331 and one course from BUSN-211, MATH-130, MATH-330, PSYC-240 or SOAN-227. Minimum grade of C in DATA-101