UUM Repository | Universiti Utara Malaysian Institutional Repository
FAQs | Feedback | Search Tips | Sitemap

Exploring hidden relationships within students' data using neural network and logistic regression


Siraj, Fadzilah and Yusoff, Nooraini and Mohd Ali, Noorlin (2006) Exploring hidden relationships within students' data using neural network and logistic regression. In: Proceedings of Knowledge Management International Conference & Exhibition (KMICE) , 6 - 8 June 2006 Legend Hotel Kuala Lumpur, Malaysia. Faculty of Information Technology, Universiti Utara Malaysia, Sintok, pp. 162-168. ISBN 9833282903

[img]
Preview
PDF
Download (270kB) | Preview

Abstract

Considerable attention has been given to the development of sophisticated techniques for exploring data sets.One of the most commonly used techniques is neural networks that have the abilities to detect nonlinear effects and/or interactions.Due to the reduced interpretability of the output model of neural networks the some data set has been analyzed using logistic regression.In this study both techniques have been applied to education data set.The study aims to provide some insight into fist year students undertaking undergraduate programs namely Bachelor of Information Technology (BIT),Bachelor of Multimedia (BMM) and Bachelor in Management of Technology (BMoT) at University Utara Malaysia. The Holland Personality Model was used to indicate the students personality traits in conjunction with students academic achievement of accuracies in both methods the methods were used in this exploratory study in a complementary manner.

Item Type: Book Section
Uncontrolled Keywords: Neural Network, Logistic Regression Holland Model, Education, Personality Traits
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: College of Arts and Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 21 Feb 2011 07:45
Last Modified: 21 Feb 2011 07:45
URI: http://repo.uum.edu.my/id/eprint/2386

Actions (login required)

View Item View Item