On Prediction of Research Excellence using Data Mining and Deep Learning Techniques

Abstract

Scientometrics analyses the science, technology and innovation. It measures and analyses the scientific literature. The goal of our research is to predict excellence of the researchers and examine the relationship between scientometric indicators. Data Mining Techniques are used to study research excellence in this paper. A dataset used in this research study consisted of 406 researcher's data which is extracted from MathSciNet (MSN) databases. Data mining classification algorithms like Naive Bayes, Decision Tree, Random Forest, Support Vector Machine, Logistic Regression and Deep Learning are applied on the dataset for the prediction of research excellence. The performance of these algorithms is also compared on the basis of some performance measures.