SMS Spam Filtering based on Text Classification and Expert System
Özet
Even though short message service(SMS) is gradually being replaced by social network sites' messaging systems, it still is one of the most widely used communication systems. For reasons such as well established e-mail filter systems, cheap SMS bundles and ineffective spam solutions for message services, SMS is one of the services which is widely used by advertising companies. In this study, expert system and data classification methods are proposed for SMS spam problem and a prototype software for Jelly Bean version of Android operating system. SVM, bayesian classification and k-NN classification methods applied and 98.61%, 97.55% and 93.35% successful results were obtained.
Anahtar kelimeler
Atıf için künye
Bozan, Y. S., Coban, Ö., Ozyer, G. T., & Özyer, B. (2015). SMS Spam Filtering based on Text Classification and Expert System. 23nd Signal Processing and Communications Applications Conference (SIU), Malatya (ss. 2345–2348). https://doi.org/10.1109/siu.2015.7130350
BibTeX
@inproceedings{bozan2015-177583,
author = {Bozan, Yavuz Selim and Coban, Önder and Ozyer, Gulsah Tumuklu and Özyer, Barış},
title = {SMS Spam Filtering based on Text Classification and Expert System},
booktitle = {23nd Signal Processing and Communications Applications Conference (SIU)},
address = {Malatya},
year = {2015},
pages = {2345--2348},
doi = {10.1109/siu.2015.7130350},
url = {https://akademik.atauni.edu.tr/yayinlar/177583-sms-spam-filtering-based-on-text-classification-and-expert-system}
}