Classification Technique for Scrum Analysis in Data Mining

The data mining is the technique which is applied to extract the useful information from the rough data. The scrum analysis is the technique of data mining which is applied to predict the consequences according to the data. In this work, the teacher performance is predicted from the students results. The k-mean clustering is applied which will cluster similar and dissimilar type of data. The algorithm of SVM is applied for the scrum analysis. In the proposed work, the SVM is replaced with the knn classifer for the scrum analysis. The performance of SVM and Knn classifer is compared in terms of accuracy, execution time.