Open AccessImplementation of DBSCAN Clustering to Relate Various Parameters to Predict Primary Education Growth Based on Previous Data
Author(s) -
Mayank Mittal,
Nitin Goyal,
Manish Kumar
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f1005.0886s19
Subject(s) - dbscan , cluster analysis , numeracy , government (linguistics) , computer science , process (computing) , literacy , path (computing) , data science , mathematics education , data mining , artificial intelligence , economic growth , mathematics , fuzzy clustering , economics , canopy clustering algorithm , programming language , operating system , linguistics , philosophy
Primary Education can be defined as first step of compulsory education which contributes in the development of future of country. Our aimis to develop a prototype based on DBSCAN Clustering Algorithm to monitor the primary education and corresponding utilization of previous data to estimate and predict the future growth of primary Education in India.The major goal of primary education is achieving basic literacy and numeracy amongst all people as well as establishing foundations in science, mathematics, geography, history & social sciences. DBSCAN Clustering Algorithm can be utilized to establish relationship between human resources, infrastructure, government expenditure, actual utilization of these resources and the outcome which is socio-economic makeover of Society of India. It would help to predict and formulate correct path to transform the process of growth of Indian Primary Education System.