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Evaluation of Classification Algorithms for Effective Spam Email Detection Using Spam Email Dataset

https://doi.org/10.2139/ssrn.4835893
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11790853_9openalex-extracted
A Comparative Performance Study of Feature Selection Methods for the Anti-spam Filtering Domain
inferredcites →https://doi.org/10.1007/s10462-011-9280-4openalex-extracted
A survey of image spamming and filtering techniques
inferredcites →https://doi.org/10.1007/s13174-010-0014-7openalex-extracted
Spam filtering: how the dimensionality reduction affects the accuracy of Naive Bayes classifiers
inferredcites →https://doi.org/10.1016/j.ins.2006.12.005openalex-extracted
Learning to classify e-mail
inferredcites →https://doi.org/10.1016/j.patrec.2012.03.012openalex-extracted
Spam detection using Random Boost
inferredcites →https://doi.org/10.1109/ijcnn.2010.5596569openalex-extracted
Content-based spam filtering
inferredcites →https://doi.org/10.1145/1039621.1039625openalex-extracted
An evaluation of statistical spam filtering techniques
inferredcites →https://doi.org/10.1145/1247715.1247717openalex-extracted
Online supervised spam filter evaluation
inferredcites →https://doi.org/10.1145/280324.280336openalex-extracted
Spam!
inferredcites →https://doi.org/10.4018/978-1-60960-015-0.ch012openalex-extracted
Spam Detection Approaches with Case Study Implementation on Spam Corpora
inferredcites →https://doi.org/10.48550/arxiv.cs/0006013openalex-extracted
An evaluation of Naive Bayesian anti-spam filtering
inferredcites →https://doi.org/10.48550/arxiv.cs/0106040openalex-extracted
Stacking classifiers for anti-spam filtering of e-mail
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