@article{MAKHILLJEAS201813615790,
    title = {Junk Messages Filtering Using Fuzzy-Rough Set with Latent Semantic Analysis},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {6},
    pages = {1331-1337},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.1331.1337},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.1331.1337},
    author = {Raghad and},
    keywords = {SMS,fuzzy-rough set,latent semantic analysis,decades,precision,recall},
    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.}
    }