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Matches in SemOpenAlex for { <https://semopenalex.org/work/W2018137101> ?p ?o ?g. }

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• W2018137101 abstract "Abstract Nowadays e-mail spam is not a novelty, but it is still an important rising problem with a big economic impact in society. Spammers manage to circumvent current spam filters and harm the communication system by consuming several resources, damaging the reliability of e-mail as a communication instrument and tricking recipients to react to spam messages. Consequently, spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade filtering. In this paper, we present a novel approach to spam filtering based on the minimum description length principle. Furthermore, we have conducted an empirical experiment on six public and real non-encoded datasets. The results indicate that the proposed filter is fast to construct, incrementally updateable and clearly outperforms the state-of-the-art spam filters." @default.
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• W2018137101 date "2012-10-02" @default.
• W2018137101 modified "2023-10-02" @default.
• W2018137101 title "Occam’s razor-based spam filter" @default.
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• W2018137101 doi "https://doi.org/10.1007/s13174-012-0067-x" @default.
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