TY  - JOUR
T1  - Junk Messages Filtering Using Fuzzy-Rough Set with Latent Semantic Analysis
AU - M. Hatim, Raghad AU - A. Al-Sultany, Ghaidaa 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 6
SP  - 1331
EP  - 1337
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.1331.1337
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.1331.1337
KW  - SMS
KW  -fuzzy-rough set
KW  -latent semantic analysis
KW  -decades
KW  -precision
KW  -recall
AB  - 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.
ER  -