Educational Data Mining Student Placement Prediction in Education Sector using Classification

Data mining is based on collecting knowledge from databases or data warehouses and the information collected that had never been known before, it is valid and operational. In recent years, the biggest challenges that educational institutions are dealing with the explosive growth of educational data and to use this data to improve the quality of managerial decisions. One of the biggest challenges is to improve the quality of the educational processes so as to enhance student’s performance in academic and placement. Thus, it is extremely important decision to set new strategies and plans for a better management of the current processes. Educational data mining model helps to declare student’s future learning outcomes using data sets of outgoing students. Prediction of student’s placement in educational environments is important as well. In this paper, J48 classification algorithm is used to predict the placement for the final year students.