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Matches in SemOpenAlex for { <https://semopenalex.org/work/W1990218107> ?p ?o ?g. }

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• W1990218107 abstract "Spam is now seized of the Internet in phenomenal proportions since it high represents a percentage of total emails exchanged on the Internet. In the fight against spam, the authors are interested in this article to develop a hybrid algorithm based primarily on the probabilistic model in this case Naïve Bayes for weighting the terms of the matrix term -category and second place used an algorithm of unsupervised learning (K-means) to filter two classes namely spam and ham. To determine the sensitive parameters that improve the classifications the authors are interested in studying the content of the messages by using a representation of messages by the n-gram words and characters independent of languages (because a message may be received in any language) to later decide what representation opt to get a good classification. The authors have chosen several metrics evaluation to validate their results." @default.
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• W1990218107 date "2013-01-01" @default.
• W1990218107 modified "2023-10-16" @default.
• W1990218107 title "The Impact of the Mode of Data Representation for the Result Quality of the Detection and Filtering of Spam" @default.
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• W1990218107 doi "https://doi.org/10.4018/ijirr.2013010103" @default.
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