Performance Analysis of Under Graduate Students

Knowledge and skill of the stake holders are the most dominant factors to evaluate their quality of education. The aim of the paper is to analyze the performance of students of selected UG departments who have consistently figured in the top ten ranks in the first five semester marks by correlating the college marks with their higher secondary marks. The study also includes the correlation of male and female, rural and urban, residential and non residential students. The analysis is done by Statistical Data Mining, Regression Techniques and Hypothesis testing. Data mining is the key to the Knowledge Discovery Database (KDD).. The results of this analysis help the educational institutions to admit quality students for further studies and to retain the good results with high quality education.