Engineering Commons^™

Antlion Optimization And Boosting Classifier For Spam Email Detection, Amany A. Naem, Neveen I. Ghali Prof., Afaf A. Saleh

Future Computing and Informatics Journal

Spam emails are not necessary, though they are harmful as they include viruses and spyware, so there is an emerging need for detecting spam emails. Several methods for detecting spam emails were suggested based on the methods of machine learning, which were submitted to reduce non relevant emails and get results of high precision for spam email classification. In this work, a new predictive method is submitted based on antlion optimization (ALO) and boosting termed as ALO-Boosting for solving spam emails problem. ALO is a computational model imitates the preying technicality of antlions to ants in the life cycle. Where …