Analysis of e-mail spam detection using a novel machine learning-based hybrid bagging technique

HIGHLIGHTS

• who: Alanazi Rayan from the Department of Computer Science, Jouf University, Sakaka, Saudi Arabia have published the article: Analysis of e-Mail Spam Detection Using a Novel Machine Learning-Based Hybrid Bagging Technique, in the Journal: Computational Intelligence and Neuroscience of 16/06/2022
• what: This research proposes a novel machine learningbased hybrid bagging method for e-mail spam identification by combining two machine learning methods: random forest and J48 (decision tree). For the experiments, an e-mail database of 1000 e-mails is used, including 500 e-mails in each of the two classification . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.