SMS Spam Detection using H2O Framework

Author:

Suleiman Dima,Al-Naymat Ghazi

Publisher

Elsevier BV

Subject

General Engineering

Reference23 articles.

1. Tiago A. Almeida, José María G. Hidalgo, Akebo Yamakami, 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.

2. Email Spam Filtering: A Systematic Review;Cormack;Foundations and Trends in Information Retrieval,2008

3. H. Ji and H. Zhang, "Analysis on the content features and their correlation of web pages for spam detection," Communications, China, 2015.

4. Sajedi H., Parast G., Akbari F., SMS Spam Filtering Using Machine Learning Techniques: A Survey, Machine Learning Research 2016; 1(1): 1-14 http://www.sciencepublishinggroup.com/j/mlr doi: 10.11648/j.mlr.20160101.11.

5. Chaudhari N., Jayvala, Vinitashah, Survey on Spam SMS filtering using Data mining Techniques, International Journal of Advanced Research in Computer and Communication Engineering ISO 3297:2007 Certified Vol. 5, Issue 11, November 2016.

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