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- W2116722591 abstract "Spam emails are causing major resource wastage by unnecessarily flooding the network links. Though many anti-spam solutions have been implemented, the Bayesian spam score approach looks quite promising. A proposal for spam detection algorithm is presented and its implementation using Java is discussed, along with its performance test results on two independent spam corpuses - Ling-spam and Enron-spam. We use the Bayesian calculation for single keyword sets and multiple keywords sets, along with its keyword contexts to improve the spam detection and thus to get good accuracy." @default.
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- W2116722591 date "2009-01-01" @default.
- W2116722591 modified "2023-09-30" @default.
- W2116722591 title "Improved Bayesian Anti-Spam Filter Implementation and Analysis on Independent Spam Corpuses" @default.
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- W2116722591 doi "https://doi.org/10.1109/iccet.2009.170" @default.
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