An Approach for Spam E-mail Detection with Support Vector Machine and n-Gram Indexing

Author:

Moon Jongsub,Shon Taeshik,Seo Jungtaek,Kim Jongho,Seo Jungwoo

Publisher

Springer Berlin Heidelberg

Cited by 7 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. AI Methods Used for Spam Detection in Social Systems - An Overview;2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS);2023-11-21

2. Content Based Email Spam Classifier as a Web Application Using Naïve Bayes Classifier;Intelligent Computing & Optimization;2022-10-21

3. Information Retrieval and Artificial Intelligence;A Guided Tour of Artificial Intelligence Research;2020

4. Visual and textual features based email spam classification using S-Cuckoo search and hybrid kernel support vector machine;Cluster Computing;2017-12-30

5. A Bayesian beta kernel model for binary classification and online learning problems;Statistical Analysis and Data Mining: The ASA Data Science Journal;2014-08-19

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