Grade Sheet With Elective Course

In this paper, we present a collaborative recommend system that recommends elective courses for students based on similarities of student’s grades obtained in the last semester. The proposed system employs data mining techniques to discover patterns between grades. Consequently, we have noticed that clustering students into similar groups by performing clustering. The data set is processed for clustering in such a way that it produces optimal number of clusters. After the clustering process it is subjected to collaborative filtering model to give out the recommendation of the elective subjects.The produces result is a recommendation given to the student despite his selection of the elective course previously.