An education data mining tool for marketing based on C4.5 classification technique

This paper aims to classify the demographics that affect successful high school recruitment. It also aims to minimize the workload of the admission/recruitment personnel in planning school-to-school promotion without compromising the chance of recruiting more high school students. Historical data of College Entrance Test examinees is used for classification. In view of this, the researchers have developed a system based on the C4.5 decision tree algorithm to enhance the strategy of planning.