The effect of term weighting measures on feature selection

Latifah Loh, Abdullah (2007) The effect of term weighting measures on feature selection. Masters thesis, Faculty of Computer science and Information Technology..

[img]
Preview
PDF
Latifah Loh Abdullah (24pgs).pdf

Download (1MB) | Preview

Abstract

Feature selection is an important stage in any text mining classification techniques. In this dissertation, we study and analyze Categorical Term Descriptor (CTD) (Bong, C.H., 2001) feature selection method. which gives comparative accuracy results compared to other well-known feature selection method like Information Gain and Chi-Square. Our goal is to evaluate the significance of each term weighting measure that forms the CTD method. Our experimental results have shown taht CTD does not handle datasets that contain misclassifications. We have proven that CTD performs well in categories which are distinct as opposed to general and miscellaneous categories.

Item Type: Thesis (Masters)
Uncontrolled Keywords: term weighting, features selection, Universiti Malaysia Sarawak, UNIMAS, postgraduate, research, IPTA, education, kuching, samarahan, sarawak, malaysia, universiti, university
Subjects: Q Science > QA Mathematics
T Technology > T Technology (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Karen Kornalius
Date Deposited: 15 Apr 2014 02:08
Last Modified: 23 Mar 2015 08:32
URI: http://ir.unimas.my/id/eprint/1714

Actions (For repository members only: login required)

View Item View Item