A COMPREHENSIVE SURVEY ON TRADITIONAL AND MACHINE LEARNING APPROACH FOR SMART EMAIL SPAM DETECTION
Dr.A.Rajesh N.A.S.Vinoth · Journal of Critical Reviews · 2020
In the field of Internet and Electronic communication spam has become a major issue in the recent years. Eventually a set of techniques have been found to eliminate them. Main hives of the paper an general idea of presented e-mail spam filtering method. The classification method, estimation and contrast of traditional and learning based methods have been analyzed and presented. Some personal anti spam products have been compared and tested for better result purposes. Many statements regarding new approaches in spam filtering techniques have been considered This literature survey paper mainly focuses on traditional approaches vs machine learning methods for Intelligent spam e-mail finding can helps in developing appropriate countermeasures With the number of emerging methods, each paper representing different methods have been identified read and summarized . In a profound study challenges and investigate problems are disclosed in the articles. The extensive study helps the potential research scholars in address speculative and experiential aspects related to intelligent spam detection