Open AccessA SURVEY ON RURAL SCHOOL STUDENTS EDUCATION PERFORMANCE USING DATA MINING TECHNIQUES
Author(s) -
Suresh Solomon. G,
Nancy Jasmine Goldina
Publication year - 2021
Publication title -
epra international journal of multidisciplinary research
Language(s) - English
Resource type - Journals
ISSN - 2455-3662
DOI - 10.36713/epra8149
Subject(s) - rural area , order (exchange) , competition (biology) , domain (mathematical analysis) , survey data collection , mathematics education , business , psychology , political science , statistics , mathematics , ecology , mathematical analysis , finance , law , biology
In India there exists a lot of Rural areas in which the educational performance of the rural school students are inferior when compared it to the performance of the urban areas due to the lack of facilities, environment, income, employment opportunities and exposure. Equality is one among the basic principle of our country, so it’s a mere responsibility of any research study to perform a detailed analysis towards the performance of rural school students by focusing on to the factors to be monitored and improved so that the Rural areas also raise to the equilant level of competition with the Urban areas. For this goal Data mining plays a vital role in order to handle the data in proper way for analysis and prediction of performances for the improvement of rural school student’s education domain results. This paper presents a survey on Data Mining strategies used for prediction and performance analysis of rural school students education improvements. KEYWORDS—Data Mining, Rural, Urban, Prediction, Performance