Discusses data mining techniques that can be utilized to effectively sift through large volumes of operational data and extract actionable information and knowledge (meaningful patterns, trends, and anomalies) to help optimize businesses and significantly improve bottom lines. The course is practically oriented with a focus of applying various data analytical techniques in various business domains such as customer profiling and segmentation, database marketing, credit rating, fraud detection, click-stream Web mining, and component failure predictions.
Prerequisite: OPIM 5604 Open to MBA and BAPM students, others with permission. (RG 4502)
Minimum Credits: 3.00
Maximum Credits: 3.00« Back to Operations and Information Management (OPIM) Courses