Predicting master's applicants performance using KDD techniques


The selection process of master's applicants has serious implications for the University. Students must contribute to science through scientific publications in congresses and journals, increasing the institution levels. However, predicting its performance demand advisor's experience and time. The advisors must select from a group of projects which one is… (More)


9 Figures and Tables

Slides referencing similar topics