Author:
Yoon Ji Won,Kim Hyoungshick,Huh Jun Ho
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.
Cited by
28 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
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