HEURISTIC METHODS TO IDENTIFY FACTORS INFLUENCING COLLEGE ADMISSIONS IN SUB-URBAN AREAS
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Abstract
Now-a-days with growing technology and well connected network the parents and students are evaluating all the information before choosing the right institution. Moreover, there are very few institutions in India who are giving quality inputs and striving to inculcate the learning skills amongst students. With such scenario, the choice of college made by the students and parents are influenced by certain factors like location, adequate infrastructure, sports quota, and much more. Parents and Students in suburban areas have certain expectations about the choice of college. The present article identifies the best key factors that have gained more importance among the parents and students in Kancheepuram district in Tamil Nadu. The dataset taken in the study constitutes of 400 respondents. This paper proposes the Decision tree pruning method to extract the optimal factors that influence the college admissions in suburban areas. Attribute selection measures using Greedy and Ranker method is implemented to prune the decision tree.
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