improve their key process indicators by effective and
efficient use of their assets
The most striking features of data mining techniques are
clustering and prediction. The clustering aspect of data
mining offers comprehensive characteristics analysis of
students, while the predicting function estimate the
likelihood for a variety of outcomes of them, such as
transferability, persistence, retention and success in classes.
This study makes use of decision tree analysis to analyze the
problem of drop outs in any educational institution