Using LDA and Ant Colony Algorithm for Spam Mail Filtering
Hui Yin, Fengjuan Cheng, Dexian Zhang · 2009
Spam mails are extremely inconvenient, annoying and wasteful to most users since they waste time and bandwidth. To efficiently resolve this problem, a new spam mail filtering algorithm is proposed by using linear discriminant analysis(LDA) and ant colony optimization(ACO) algorithm. The experimental results show that this algorithm is feasible and performs much better than other typical spam filtering algorithms.