  Academic Data Mining was one of emerging field which comprise procedure of
examined students details by different elements such as earlier semester marks,
attendance, assignment, discussion, lab work were of used to improved bachelor
academic performance of students, and overcome difficulties of low ranks of
bachelor students. It was extracted useful knowledge from bachelor academic
students data collected from department of Computing. Subsequently
preprocessing data, which was applied data mining techniques to discover
classification and clustering. In this study, classification method was
described which was based on naive byes algorithm and used for Academic data
mining. It was supportive to students along with to lecturers for evaluation of
academic performance. It was cautionary method for students to progress their
performance of study.
