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An efficient incremental learning mechanism for tracking concept drift in spam filtering
This research manages in-depth analysis on the knowledge about spams and expects to propose an efficient spam filtering method with the ability of adapting to the dynamic environment. We focus on the analysis of email’s header and apply decision tree data mining technique to look for the association...
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| Yayımlandı: | PLoS One |
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| Asıl Yazarlar: | , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Public Library of Science
2017
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5300145/ https://ncbi.nlm.nih.gov/pubmed/28182691 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0171518 |
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