Title :
Using LDA and Ant Colony Algorithm for Spam Mail Filtering
Author :
Yin, Hui ; Cheng, Fengjuan ; Zhang, Dexian
Author_Institution :
Sch. of Inf. Sci. & Technol., Henan Univ. of Technol., Zhengzhou, China
Abstract :
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.
Keywords :
e-mail filters; security of data; unsolicited e-mail; ACO algorithm; LDA algorithm; ant colony algorithm; ant colony optimization; linear discriminant analysis; spam mail filtering algorithm; Ant colony optimization; Bandwidth; Filtering algorithms; Information science; Large scale integration; Linear discriminant analysis; Postal services; Principal component analysis; Space technology; Unsolicited electronic mail; ant colony optimization(ACO); data mining; linear discriminant analysis (LDA); spam mail filtering;
Conference_Titel :
Information Science and Engineering (ISISE), 2009 Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6325-1
Electronic_ISBN :
978-1-4244-6326-8
DOI :
10.1109/ISISE.2009.82
