Browse Items (2 total)
Sort by:
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Comparison of the feature selection algorithm in educational data mining
Student academic accomplishment is the foremost focus of every educational
institution. In developing student achievement in educational institutions, the
researchers finally created a new research area, namely educational data
mining (EDM). How…
institution. In developing student achievement in educational institutions, the
researchers finally created a new research area, namely educational data
mining (EDM). How…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Enhancement of student performance prediction using modified K-nearest neighbor
The traditional K-nearest neighbor (KNN) algorithm uses an exhaustive search for a complete training set to predict a single test sample. This procedure can slow down the system to consume more time for huge datasets. The selection of classes for a…