EDUCATIONAL DATA MINING USING CLUSTERING AND CLASSIFICATION

Abstract

Data Mining plays a vital role in information management technology.  It is a computational process of finding patterns from large databases. It mainly focuses on extracting knowledge from the given or the available data. Different knowledge extracting tools are used.    This weapon is most common among every sector be it educational, organizational etc. Educational Sector can take advantage out of these tools in order to increase the quality of education. But the sad part is still in present educational systems are not using it. Higher education Institutions needs to know which student will enrol in which course, which student needs more assistance. In data mining users are facing the problem when database consists of large number of features and instances. These kinds of problem could not be handled using decision trees  alone or clustering technique alone. Because, decision trees  depend upon the dataset used and the configuration of the trees. Similarly, clustering alone doesn’t work for all kind of patterns. Therefore, in this research paper we are building a system using both the techniques individually and compare which technique is more accurate and precise accordingly