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Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

stylistic features

biblio

Visible to the public A Comparative Study of Spam SMS Detection Using Machine Learning Classifiers

Submitted by aekwall on Mon, 02/25/2019 - 11:42am
  • Filtering
  • text messages
  • stylistic features
  • spam SMS detection
  • Spam SMS
  • smart phones
  • short message service
  • phones
  • machine learning classifiers
  • information filtering
  • filtering spam emails
  • detection
  • deep learning methods
  • content-based machine learning techniques
  • content based advertisement
  • CAP curve
  • Scalability
  • machine learning
  • spam messages
  • electronic messaging
  • Unsolicited electronic mail
  • spam detection
  • unsolicited e-mail
  • pattern classification
  • Neural networks
  • Metrics
  • pubcrawl
  • Human behavior
  • learning (artificial intelligence)
  • Classification algorithms
  • Bayes methods

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