Welcome to the InfoSci Platform
Reference Hub11
Predicting Students Grades Using Artificial Neural Networks and Support Vector Machine

Predicting Students Grades Using Artificial Neural Networks and Support Vector Machine

Sajid Umair, Muhammad Majid Sharif
Copyright: © 2018 |Pages: 14
ISBN13: 9781522522553|ISBN10: 1522522557|EISBN13: 9781522522560
DOI: 10.4018/978-1-5225-2255-3.ch449
Cite Chapter Cite Chapter

MLA

Umair, Sajid, and Muhammad Majid Sharif. "Predicting Students Grades Using Artificial Neural Networks and Support Vector Machine." Encyclopedia of Information Science and Technology, Fourth Edition, edited by Mehdi Khosrow-Pour, D.B.A., IGI Global, 2018, pp. 5169-5182. https://doi.org/10.4018/978-1-5225-2255-3.ch449

APA

Umair, S. & Sharif, M. M. (2018). Predicting Students Grades Using Artificial Neural Networks and Support Vector Machine. In M. Khosrow-Pour, D.B.A. (Ed.), Encyclopedia of Information Science and Technology, Fourth Edition (pp. 5169-5182). IGI Global. https://doi.org/10.4018/978-1-5225-2255-3.ch449

Chicago

Umair, Sajid, and Muhammad Majid Sharif. "Predicting Students Grades Using Artificial Neural Networks and Support Vector Machine." In Encyclopedia of Information Science and Technology, Fourth Edition, edited by Mehdi Khosrow-Pour, D.B.A., 5169-5182. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-2255-3.ch449

Export Reference

Mendeley
Favorite

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.