Course Detail
Units:
3.0
Course Components:
Lecture
Enrollment Information
Enrollment Requirement:
Prerequisites: "C-" or better in IS 6482 AND Masters Status in the School of Business OR Instructor Consent.
Description
This course covers advanced data and web mining methods and software tools for customer segmentation, recommendations, personalization, fraud detection, time series analysis, social network analysis as well as web content matching and extraction. Special attention will be given to imbalanced data mining, cost-oriented classification and privacy-preserving data mining issues and methods. Students will collect and analyze real world data using available data mining software or programming tools.