Boosting Accuracy of Classical Machine Learning Antispam Classifiers in Real Scenarios by Applying Rough Set Theory (Unknown)
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- New search for: N. Pérez-Díaz
- New search for: D. Ruano-Ordás
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In:
Scientific Programming, Vol 2016 (2016)
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2016
- Article (Journal) / Electronic Resource
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Title:Boosting Accuracy of Classical Machine Learning Antispam Classifiers in Real Scenarios by Applying Rough Set Theory
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Contributors:N. Pérez-Díaz ( author ) / D. Ruano-Ordás ( author ) / F. Fdez-Riverola ( author ) / J. R. Méndez ( author )
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Published in:
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Publisher:
- New search for: Hindawi Limited
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Publication date:2016
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:Unknown
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Keywords:
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Source:
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