Hybrid spam filtering for mobile communication

Author:

Yoon Ji Won,Kim Hyoungshick,Huh Jun Ho

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference23 articles.

1. An experimental comparison of naive Bayesian and keyword-based anti-spam filtering with personal e-mail messages;Androutsopoulos,2000

2. Spam filtering using statistical data compression models;Bratko;Journal of Machine Learning Research,2006

3. A logic of authentication;Burrows;ACM Operating Systems Review,1989

4. Making CAPTCHAs clickable;Chow,2008

5. Cormack GV, Hidalgo JMG, Sanz EP. Spam filtering for short messages. In: Proceedings of the 16th ACM conference on information and knowledge management; 2007. p. 313–20.

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1. Antyscam – Practical Web Spam Classifier;International Journal of Electronics and Telecommunications;2023-07-26

2. Thwarting Spam on Facebook;Research Anthology on Machine Learning Techniques, Methods, and Applications;2022-05-13

3. A deep learning method for automatic SMS spam classification: Performance of learning algorithms on indigenous dataset;Concurrency and Computation: Practice and Experience;2022-04

4. On Term Weighting for Spam SMS Filtering;Sakarya University Journal of Computer and Information Sciences;2020-12-30

5. Machine intelligence-based algorithms for spam filtering on document labeling;Soft Computing;2019-11-02

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