Prediction & Analysis Students Performance Using EDM over Decision Tree: Machine Learning Theory

Authors: Monica ., Prof. Mohit Jain

Certificate: View Certificate

Abstract

Machine Learning is very emerging technology that is used in each and every system. Education data mining is very important disciplines, because the result of student is so important for their future and the amount of data in education system is increasing day by day .In education it is relatively new but its importance increases because of increasing database. There are many approach for measuring students’ performance .data mining is one of them .With the help of data mining the hidden information in the database is get out which help for improvement of students’ performance education data mining is used to study the data available in education field to bring the hidden data i.e. important and useful information from it . There are many methods of machine learning which is used to analysis of students’ performance clustering method like K-means is most used to measure the students ‘performance. With the help of these it is easy to improve the result and future of students. More methods like classification, regression, time series, and neural network can also be applied. Key words: -Data mining, EDM, K-means, Decision Tree, Students data.

Introduction

Education is very important for student’s life. Higher education institute are focus on analysis of every objects because of private participation. Data mining techniques is applied in many fields like marketing, medicine, fraud detection,web, and engineering and in the field if education it becomes more useful.The main aim of data mining is to know hidden information from large set of data. There are many method of machine learning which is used to predict students’ performance. Clustering is a method which is more efficient as compare to other method, and K-means is one of them. Data mining provides various methods analysis; these include classification, association, k-means,decision tree, regression, time series, neural network,etc

Conclusion

Machine learning is very emerging technology that every placed it used. Now days in bank, labs, telecom, industrial each and every place machine learning is used. Data mining is part of it which helps in prediction, future prediction is very important in many place which help so much. Many algorithm is build and more and more research is going on every technology used the concept of it. We survey many papers for prediction of students’ performance .On comparing decision tree and k means it is seen that k means is more efficient as compare to decision tree.Students performance is so important for their future it not only help student but also help teachers institute parents. Many big institutes used the concept of AI for prediction