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ECO 396E - Topic: Forecasting With Data Mining

Course Description: Data Mining is fundamentally different from traditional statistical/econometric techniques. Some of the analytical tools used in Data Mining are Classification Trees, Regression Analysis, and Neural Networks. Two Data Mining computer programs are introduced in the course. The first is an EXCEL add-in XLMiner. The second is the state of the art SAS Enterprise Miner 5.3 data mining program that is part of the overall SAS analytical system. Some of the topics covered in the course include fraud detection, student enrollment and retention forecasting, consumer behavior prediction, etc.


3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture

Economics Department

Restrictions:
Must be enrolled in one of the following Levels:     
      Undergraduate