Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
Data mining has been effectively used in SMS classification which attracted the attention of researches in the last decades. The main objective of this study is to improve classification on an SMS junk using fuzzy-rough set approach with latent semantic analysis as feature selection which aims to reduce the error factor according to coverage factor reach to zero. The results are compared with the traditional fuzzy-rough set quick rules algorithm, decision tree and Naive Bays algorithms. The proposed method has satisfied better results for the classification rate according to the precision, F-measure, recall performance measures.
How to cite this article:
Raghad M. Hatim and Ghaidaa A. Al-Sultany. Junk Messages Filtering Using Fuzzy-Rough Set with Latent Semantic Analysis.
DOI: https://doi.org/10.36478/jeasci.2018.1331.1337
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2018.1331.1337