Predicting Student Performance using KNN Classification in Bigdata Environment

A Seetharam Nagesh; Ch V S Satyamurty; K Akhila

A Seetharam Nagesh Senior Asst. Professor, CVR College of Engineering, IT Department, Hyderabad, India.
Ch V S Satyamurty Assoc. Professor, CVR College of Engineering, IT Department, Hyderabad, India.
K Akhila B.Tech Student, CVR College of Engineering, IT Department, Hyderabad, India.

Abstract

The data mining techniques are widely used to run business in profits and also for analyzing the data for different business needs. The analysis of data has many advantages. The extraction of hidden trends in the large data is much helpful to make decisions. The data mining system also called as knowledge discovery from databases, helps to find useful predictions from the data. The patterns extracted from data mining techniques are beneficial to provide quality education in educational institutions. In this paper, the student performance is predicted by applying one of the classification algorithms KNN classifiers using the Hadoop platform, which aids to take decisions of knowledge workers such as academic council.