Main Reference PaperIncremental personalized E-mail spam filter using novel TFDCR feature selection with dynamic feature update, Expert Systems With Applications, 2018 [Java/Python/R]
  • This work is proposed a personalized e-mail spam filter for the classification of e-mails as spam or legitimate. An effective term frequency difference and category ratio based feature is selected. Then learning the features using SVM. It also incorporates a heuristic function called selectionRankWeight, which upgrades the existing feature set that determines new features carrying strong discriminating ability from an incoming set of e-mails.

+ Description
  • This work is proposed a personalized e-mail spam filter for the classification of e-mails as spam or legitimate. An effective term frequency difference and category ratio based feature is selected. Then learning the features using SVM. It also incorporates a heuristic function called selectionRankWeight, which upgrades the existing feature set that determines new features carrying strong discriminating ability from an incoming set of e-mails.

  • To classify the mail as spam or legitimate.

+ Aim & Objectives
  • To classify the mail as spam or legitimate.

  • The proposed feature selection function is derived for binary classification problems. It can be extended to work for multi-class classification problems as well.

+ Contribution
  • The proposed feature selection function is derived for binary classification problems. It can be extended to work for multi-class classification problems as well.

  • JAVA, JDK 1.8.0, MySQL 5.5.40,Weka 3.9.3

  • Netbeans 8.0.1, J2SE

  • Python,R

+ Software Tools & Technologies
  • JAVA, JDK 1.8.0, MySQL 5.5.40,Weka 3.9.3

  • Netbeans 8.0.1, J2SE

  • Python,R

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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