Computational Intelligence and Blockchain in Complex Systems

4

Efficient spam email classification logistic regression model trained by modified social network search algorithm

Branislav Radomirovic, Aleksandar Petrovic, Miodrag Zivkovic, Angelina Njegus, Nebojsa Budimirovic and Nebojsa Bacanin,    Singidunum University, Danijelova, Belgrade, Serbia

Abstract

Due to the frequent interruptions it causes during work or personal time, spam is a real annoyance for email users. As a result of their effectiveness and often high classification accuracy, machine learning methods are frequently employed as the core of spam detection systems. On occasion, valid emails are designated a spam label; more commonly, though, a few spam emails land in the user’s inbox and appear to be legitimate. By using improved social ...