ANALYSIS OF STUDENTS ENROLLMENT IN GOVERNMENT AND PRIVATE SCHOOLS IN INDIA USING CLASSIFICATION MINING

Samiksha H. Zaveri; Divya R. Jariwala

Volume : V, Issue : IV, April - 2016

ANALYSIS OF STUDENTS ENROLLMENT IN GOVERNMENT AND PRIVATE SCHOOLS IN INDIA USING CLASSIFICATION MINING

Samiksha H. Zaveri, Divya R. Jariwala

Abstract :

<p>&nbsp;Educational organizations are one of the important parts of our society and playing a vital role for growth and development of any nation. Data Mining is an emerging technique with the help of this one can efficiently learn with historical data and uses that knowledge for predicting future behavior of concern areas. Based on the information analyzed, the data mining approaches regarding government and private schools are helpful for the development and the solutions of higher education in India. An emerging interdisciplinary research field known as educational data mining (EDM) is concerned with developing methods and applying data mining techniques for exploring the unique types of data that come from educational system. Its goal is to better understand the ratio of primary government and private schools to improve educational outcomes state wise. Growth of current education system is surely enhanced if data mining has been adopted as a futuristic strategic management tool. In this paper State wise primary government and private schools data has been taken and various classification approaches have been performed. In this research work Linear Regression is established as a best classifier with maximum accuracy and minimum root mean square error (RMSE). We present the results achieved with WEKA tool.</p>