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

fYear

2009

fDate

26-28 Dec. 2009

Firstpage

368

Lastpage

371

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ISISE.2009.82

Filename

5447234

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2071485