Sharon O'Boyle

March 1, 2014

Module 3: Working with Graphics

Part 1 - Image Size and Alignment

The use of data mining in enrollment management is a fairly new development. Current data mining is done primarily on simple numeric and categorical data. In the future, data mining will include more complex data types. In addition, for any model that has been designed, further refinement is possible by examining other variables and their relationships. Research in data mining will result in new methods to determine the most interesting characteristics in the data. As models are developed and implemented, they can be used as a tool in enrollment management.

The use of data mining in enrollment management is a fairly new development. Current data mining is done primarily on simple numeric and categorical data. In the future, data mining will include more complex data types. In addition, for any model that has been designed, further refinement is possible by examining other variables and their relationships. Research in data mining will result in new methods to determine the most interesting characteristics in the data. As models are developed and implemented, they can be used as a tool in enrollment management.

The use of data mining in enrollment management is a fairly new development. Current data mining is done primarily on simple numeric and categorical data. In the future, data mining will include more complex data types. In addition, for any model that has been designed, further refinement is possible by examining other variables and their relationships. Research in data mining will result in new methods to determine the most interesting characteristics in the data. As models are developed and implemented, they can be used as a tool in enrollment management.

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