References

Agarwal, S., S. Kaur and S. Garhwal, 2015. SMS spam detection for Indian messages. Proceedings of the 1st International Conference on Next Generation Computing Technologies (NGCT), September 4-5, 2015, IEEE, Dehradun, India, ISBN:978-1-4673-6809-4, pp: 634-638.

Akbari, F. and H. Sajedi, 2015. SMS spam detection using selected text features and boosting classifiers. Proceedings of the 2015 7th International Conference on Information and Knowledge Technology (IKT), May 26-28, 2015, IEEE, Urmia, Iran, ISBN:978-1-4673-7485-9, pp: 1-5.

Al-Hasan, A.A. and E.S.M. El-Alfy, 2015. Dendritic cell algorithm for mobile phone spam filtering. Procedia Comput. Sci., 52: 244-251.
Direct Link  |  

Almeida, T., J.M.G. Hidalgo and T.P. Silva, 2013. Towards SMS spam filtering: Results under a new dataset. Intl. J. Inf. Secur. Sci., 2: 1-18.
Direct Link  |  

Almeida, T.A., J.M.G. Hidalgo and A. Yamakami, 2011. Contributions to the study of SMS spam filtering: New collection and results. Proceedings of the 11th ACM Symposium on Document Engineering, September 19-22, 2011, ACM, Mountain View, California, USA., ISBN:978-1-4503-0863-2, pp: 259-262.

Biggio, B., G. Fumera, I. Pillai and F. Roli, 2011. A survey and experimental evaluation of image spam filtering techniques. Pattern Recognit. Lett., 32: 1436-1446.
CrossRef  |  

Bodic, L.G., 2005. Mobile Messaging Technologies and Services: SMS, EMS and MMS. John Wiley & Sons, Hoboken, New Jersey, Pages: 431.

Delany, S.J., M. Buckley and D. Greene, 2012. SMS spam filtering: Methods and data. Expert Syst. Appl., 39: 9899-9908.
Direct Link  |  

Galvez, R.H. and A. Gravano, 2017. Assessing the usefulness of online message board mining in automatic stock prediction systems. J. Comput. Sci., 19: 43-56.
Direct Link  |  

Hu, Q., L. Zhang, S. An, D. Zhang and D. Yu, 2012. On robust fuzzy rough set models. Fuzzy Syst. IEEE. Trans., 20: 636-651.
CrossRef  |  Direct Link  |  

L'Huillier, G., A. Hevia, R. Weber and S. Rios, 2010. Latent semantic analysis and keyword extraction for phishing classification. Proceedings of the 2010 IEEE International Conference on Intelligence and Security Informatics (ISI), May 23-26, 2010, IEEE, Vancouver, British Columbia, Canada, ISBN:978-1-4244-6444-9, pp: 129-131.

Landauer, T.K., P.W. Foltz and D. Laham, 1998. An introduction to latent semantic analysis. Discourse Process., 25: 259-284.
CrossRef  |  

Landuaer, T.K., D.S. McNamara, S. Dennis and W. Kintsch, 2011. Handbook of Latent Semantic Analysis. Routledge, Abingdon, UK., ISBN: 978-0-8058-5418-3, Pages: 531.

Markovsky, I., 2012. Low-Rank Approximation: Algorithms, Implementation, Applications. Springer, Berlin, Germany, ISBN 978-1-4471-2226-5, Pages: 253.

Uluyagmur, M., Z. Cataltepe and E. Tayfur, 2012. Content-based movie recommendation using different feature sets. Proceedings of the World Congress on Engineering and Computer Science Vol. 1, October 24-26, 2012, WCECS, San Francisco, USA., ISBN:978-988-19251-6-9, pp: 17-24.

Uysal, A.K., S. Gunal, S. Ergin and E.S. Gunal, 2012. A novel framework for SMS spam filtering. Proceedings of the 2012 International Symposium on Innovations in Intelligent Systems and Applications (INISTA), July 2-4, 2012, IEEE, Trabzon, Turkey, ISBN:978-1-4673-1446-6, pp: 1-4.

Valles, E. and P. Rosso, 2011. Detection of near-duplicate user generated contents: The SMS spam collection. Proceedings of the 3rd International Workshop on Search and Mining User-Generated Contents, October 24-28, 2011, Glasgow, Scotland, UK, pp: 27-34.

Wang, C., Y. Zhang, X. Chen, Z. Liu and L. Shi et al., 2010. A behavior-based SMS antispam system. IBM. J. Res. Dev., 54: 3-16.
CrossRef  |  Direct Link  |  

Wen-Liang, H., L. Yong, Z. Zhi-Qiang and S. Zhong-Ming, 2009. Complex network based SMS filtering algorithm. ACTA. Autom. Sin., 35: 990-996.
Direct Link  |  

Zhang, H.Y. and W. Wang, 2009. Application of Bayesian method to spam SMS filtering. Proceedings of the 2009 International Conference on Information Engineering and Computer Science ICIECS, December 19-20, 2009, IEEE, Wuhan, China, ISBN:978-1-4244-4994-1, pp: 1-3.

Zhu, Y. and Y. Tan, 2011. A local-concentration-based feature extraction approach for spam filtering. IEEE. Trans. Inf. Forensics Secur., 6: 486-497.
CrossRef  |  Direct Link  |