A novel approach for upgrading Indian education by using data mining techniques
A. Banumathi, A. Pethalakshmi · 2012
Education is the backbone of all developing countries. Upgrading of the education system, upgrades the country to the world top ranking level. One of the major problems that the education system facing is predicting the behaviour of students from large database. This paper focus on upgrading Indian education system by using one of the techniques in Data mining namely clustering. Cluster analysis solves the given data into some meaningful groups. Normally the performances of the students can be classified into different patterns as normal, average and below average. In this paper we attempt to analyze student's data in different angle beyond the above indicated patterns through newly proposed UCAM (Unique clustering with Affinity Measures) clustering algorithm.