The integration harnesses the interactivity and visual representation of WinViz with the generalization capability of C4.5. Information Christopher Matheus and Gregory Piatetsky-Shapiro, GTE Labs. The system performs an automatic drill-down through data along multiple dimensions to determine the most interesting deviations of specific quantitative measures relative to their previous and expected values. Arun Sanjeev and Jan Zytkow Universities all over the world vary widely in their student population, environmental setting, academic programs offered, etc. Yet, higher educational problems like enrollment, attrition, retention, and many others faced by all the universities are strikingly similar.
Large databases consisting of hundreds of thousands of student records exist in universities.
These student databases are useful source of knowledge for resolving problems faced by universities. But the knowledge is implicit in the data and must be mined and expressed in an useful form. 49er is an automated discovery system which explores databases in search for knowledge. We show how 49er systematically searches a large number of data subsets discovering even patterns that occur in limited circumstances. 49er evaluates and reports only those patterns that pass the user thresholds.