An SMS spam filtering system using support vector machine

Joe, Inwhee; Shim, Hyetaek

doi:10.1007/978-3-642-17569-5_56

상세 보기

An SMS spam filtering system using support vector machine

Joe, Inwhee;
Shim, Hyetaek

Citations

SCOPUS

24

초록

This paper describes a powerful and adaptive spam filtering system for SMS (Short Messaging Service) that uses SVM (Support Vector Machine) and a thesaurus. The system isolates words from sample data using a pre-processing device and integrates meanings of isolated words using a thesaurus, generates features of integrated words through chi-square statistics, and studies these features. The system is realized in a Windows environment and its performance is experimentally confirmed.

키워드

short messaging service; Spam filtering system; support vector machine; thesaurus; Chi-square statistics; Isolated words; Pre-processing; Sample data; Short messaging service; Spam filtering; SVM(support vector machine); Windows environment; Chi square statistic; Isolated words; Pre-processing; Sample data; Short messaging service; Spam filtering; SVM(support vector machine); Windows environment; Information technology; Internet; Support vector machines; Thesauri; Vectors; Message passing; Thesauri; Message passing; Support vector machines

제목: An SMS spam filtering system using support vector machine

저자: Joe, Inwhee; Shim, Hyetaek

DOI: 10.1007/978-3-642-17569-5_56

발행일: 2010-12

유형: Conference Paper

저널명: Lecture Notes in Computer Science

권: 6485 LNCS

페이지: 577 ~ 584