Predicting Students Grades Using Artificial Neural Networks and Support Vector Machine

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Author(s): Sajid Umair (The University of Agriculture, Peshawar, Pakistan)and Muhammad Majid Sharif (National University of Sciences and Technology (NUST), Pakistan)
Copyright: 2018
Pages: 14
Source title: Encyclopedia of Information Science and Technology, Fourth Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-2255-3.ch449

Keywords: Information Science Reference / IT Research & Theory / IT Research and Theory / Library & Information Science

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Abstract

Prediction of student's performance on the basis of his habits has been a very important research topic in academics. Studies also show that selection of the correct data set also plays a vital role in these predictions. In this paper we took data from different schools that contains students habits and their comments, analyzed it using Latent Semantic Analysis to get out semantics and the used Support Vector Machine to classify data into two classes, important for prediction and not important, finally we used Artificial Neural Networks to predict the grades of students regression was also used predict data coming from Support Vector Machine, while giving only the important data for prediction.

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Predicting Students Grades Using Artificial Neural Networks and Support Vector Machine

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