Predicting Students' Educational Performance

Data mining has drawn significant attention in numerous industries due to the big data stored in different repositories using structured and unstructured file formats. There is an imminent need to turn such massive data into meaningful information and knowledge. Appropriate mining techniques are applied to data stored and pulled from the different repositories to extract knowledge [5] Several data mining techniques require intensive and extensive use of algorithms, models, and methods to process and analyzed store data to read the patterns in the data set. During the process of pattern discoveries, the knowledge extracted is stored as a knowledge base environment that leadership, analyst, and researcher can use for data discoveries [1] Students' grades will be predicted using an appropriate classifier to analyze educational data from the exam and record database of Osun State University, Osogbo, Osun State, Nigeria. This paper is partitioned into five sections namely pattern discovery, literature review, research methodology, results and discussions and the final step is conclusion.