Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 9 Issue 8
Application and Research of Naive Bayes Algorithm in Spam Filtering
Jun Li
10.7753/IJCATR0908.1006
keywords : 5G; Email; Spam Filtering; Naive Bayesian Classification Model
With the advent of the 5G era, the scope of e-mail applications has become more and more extensive, but the various spam messages that follow have also caused more and more serious problems. Among the many existing methods for filtering spam, the probability-based Bayesian classification algorithm is simple and efficient, and the accuracy rate can reach about 90%. This article briefly introduces the Bayesian model, gives an email filtering method based on the naive Bayesian classification model, and briefly analyzes its advantages and disadvantages. Finally, its effectiveness is verified through experiments.
@artical{j982020ijcatr09081006,
Title = "Application and Research of Naive Bayes Algorithm in Spam Filtering",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "9",
Issue ="8",
Pages ="246 - 248",
Year = "2020",
Authors ="Jun Li"}
Advantages and disadvantages of Naive Bayes algorithm for mail classification
Improve the shortcomings of Bayesian algorithm
Combined with Adaboost, the bayesian algorithm is further improved
Simulation tests the effect of algorithm improvement twice.