University Publications

Computer Science and Technology Journal - - Issue (1) - Prediction of Students’ Admission Rates Using SMOreg Algorithm

Abstract

The purpose of this paper is to present the current and future trends for computer science disciplines at public and private Sudanese universities using admission data from higher education, and demonstrating the most preferred fields of study in computer science and their future trends. SMOreg algorithm in Weka mining tool was used to predict the number of students in the field of computer science in Sudan for two years ahead 2018, 2019, and illustrating the students’ distributions in computer science departments. Keywords - Predictive Analysis, SMOreg algorithm, Educational Data Mining