Briefs

DMnews reports (Oct 17, 2002) that Baylor University is applying higher learning to recruitment with data mining and analytics that identify the best prospects among potential incoming students.

"We take 15 to 20 different variables we might use for prediction purposes, such as the prospective students' test scores, whether their parents are alumni or not, their extracurricular activities, their distance from Baylor, whether they have ever attended an event at Baylor and whether they contacted us or we contacted them, and run them through Enterprise Miner," said Dr. Tom Bohannon, assistant vice president and director of information management and testing services at Baylor. "Then ... we come out with about seven predictive variables that we use to identify those students with high scores."

Here is full story from DM News.