International Journal of Computer Science and Information Technologies
Knowledge discovery in education organization have been built and operated mainly to support decision making using knowledge as strategic factor. In this paper, the authors investigate the use of various data mining techniques for knowledge discovery in education organization. Existing software are inefficient in showing such data characteristics. They introduce different exhibits for discovering knowledge in the form of association rules, clustering, classification and correlation suitable for data characteristics. Proposed data mining techniques, the decision-maker can give a clear idea of whether an organization is eligible for continuing its services or it has to be dropped.