Now-a-days the amount of data stored in educational database increasing
rapidly. These databases contain hidden information for improvement of
students' performance. Educational data mining is used to study the data
available in the educational field and bring out the hidden knowledge from it.
Classification methods like decision trees, Bayesian network etc can be applied
on the educational data for predicting the student's performance in
examination. This prediction will help to identify the weak students and help
them to score better marks.