USAGE OF DATAMINING TECHNIQUES FOR PREDICTION OF STUDENTS ACADEMIC PERFORMANCE

ABSTRACT Few studies had exposed that data mining techniques can be practical by higher education institutions or universities in determining student failure/success rate so that administration of students' enrollment at the opening of the academic year, support students before they reached possibility of failure, efficient resource exploitation and cost minimization, serving and advising administrative officers to be victorious in administration and decision making. In the most up to date research work, an effort has been completed to charge the applicability of data mining technology to forecast the possibility of student success/failure in the college by using some set of variables/attributes that were measured significant by special literatures. However there are several data mining procedure, the investigator done experimentation by classification only. The amount of the scenarios for experimentation were also very few. Thus the proposed work applies “Cluster Analysis” technique for analyzing the student's success and failure prediction.