Application for comparison and analysis of rural to urban IQ-regions based study using the data-mining technique

Abstract

Predicting IQ in different Rural and Urban areas and comparing their respective education systems is very much challenging due to a set of factors affecting the results. In a country like India, there is a lack of existing system that analyzes and monitors the student profile. Here the IQ is generally suggested on the basis of one’s own performance and social influence; to overcome this drawback of IQ prediction from student’s profile we have come up with the solution which uses Data Mining Methodologies like Chi-square, Naïve Bayesin predicting and classifying IQ. Factors like answerability and the thinking capacity of the targeted student set is taken into consideration in the proposed model.In this paper we also suggest parameters and survey procedures by existing schools; the data collected will be used for comparing and identifying the regions with different IQ levels and in need of attention based on the results acquired.