IS 733 - Data Mining

[3]

The purpose of this course is to provide a comprehensive discussion of using organizational databases to enable decision support through mining data. This course will provide an in-depth understanding of the technical, business and research issues in the area of data mining. Areas of data mining will include justifying the need for knowledge recovery in databases and data mining methods such as clustering, classification, Bayesian networks, association rules and visualization. The course will provide a brief introduction to issues in data warehousing which include designing multi-dimensional data models; cleansing and loading of data; reporting; ad hoc querying and multi-dimensional operations, such as slicing, dicing, pivoting, drill-down and roll-up operations. New areas of research and development in data mining will also be discussed.
Course ID: 051293
Prerequisite: IS 620
Components: Lecture
Grading Method: R