The course gives students an opportunity to start with several Business Problems which require Data Mining techniques like classification, estimation, clustering. Students are supposed to research on Data Mining vendors/tools to find Strengths & Weaknesses for selected Data Mining tools Students are supposed to use 5 groups of Data Mining tools selection criteria: Hardware/OS/Networking, Data reparation/Manipulation, User Interface/Model Output, Algorithms & Manageability, Support/Documentation/Training. The course gives students an opportunity to exercise advanced Data Exploration and Mining software (developed by Synera Systems, Inc.) to analyze Retail Customer Behavior. Students are supposed to use a macro language to document Data Quality problems. Introduction to E-Customer Behavior is also a part of this course.
2 Graduate credits
Effective August 24, 2002 to present