Data Mining on Student Database to Improve Future Performance

Data Mining refers to the process of extracting information from large sets of data. Its primary implication is finding relationships between different variables to extract meaningful information. In this paper, we apply Data Mining techniques to find and evaluate future results and factors which affect them. Following preprocessing of data, several data mining techniques have been applied namely association, classification and clustering. We present the result and analysis after each process. General Terms Pattern Recognition, Data Mining, Clustering, Predictive Analytics