Spam Filtering using a Markov Random Field Model with Variable Weighting Schemas

Author:

Chhabra S.,Yerazunis W.S.,Siefkes C.

Publisher

IEEE

Cited by 13 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. Detecting spam messages using the naive Bayes algorithm of basic machine learning;2021 International Conference on Information Science and Communications Technologies (ICISCT);2021-11-03

2. A Markov Random Field Based Approach for Analyzing Supercomputer System Logs;IEEE Transactions on Cloud Computing;2019-07-01

3. Comparative Study Between a Swarm Intelligence for Detection and Filtering of SPAM;Handbook of Research on Biomimicry in Information Retrieval and Knowledge Management;2018

4. A Survey on Bio-Inspired Method for Detection of Spamming;International Journal of Strategic Information Technology and Applications;2017-07

5. A New Meta-Heuristic based on Human Renal Function for Detection and Filtering of SPAM;International Journal of Information Security and Privacy;2015-10

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