{"title":"基于SVM和D-S理论的垃圾邮件过滤技术","authors":"Miao Ye, Qiuxiang Jiang, F. Mai","doi":"10.1109/WKDD.2008.42","DOIUrl":null,"url":null,"abstract":"The development of spam techniques and rapid increase of spam amount poses a severe challenge to anti-spam technologies. Given the limitation of classification based on mail body textual content, this paper focuses on designing the spam discrimination model based on SVM and D-S theory, which uses SVM with probability to classify e-mail, according to the features of mail headers and mail body respectively, and uses D-S Theory to judge the combination result. Experimental result indicates that the proposed model can improve the accuracy of spam identification.","PeriodicalId":101656,"journal":{"name":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"The Spam Filtering Technology Based on SVM and D-S Theory\",\"authors\":\"Miao Ye, Qiuxiang Jiang, F. Mai\",\"doi\":\"10.1109/WKDD.2008.42\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The development of spam techniques and rapid increase of spam amount poses a severe challenge to anti-spam technologies. Given the limitation of classification based on mail body textual content, this paper focuses on designing the spam discrimination model based on SVM and D-S theory, which uses SVM with probability to classify e-mail, according to the features of mail headers and mail body respectively, and uses D-S Theory to judge the combination result. Experimental result indicates that the proposed model can improve the accuracy of spam identification.\",\"PeriodicalId\":101656,\"journal\":{\"name\":\"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-01-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WKDD.2008.42\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WKDD.2008.42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Spam Filtering Technology Based on SVM and D-S Theory
The development of spam techniques and rapid increase of spam amount poses a severe challenge to anti-spam technologies. Given the limitation of classification based on mail body textual content, this paper focuses on designing the spam discrimination model based on SVM and D-S theory, which uses SVM with probability to classify e-mail, according to the features of mail headers and mail body respectively, and uses D-S Theory to judge the combination result. Experimental result indicates that the proposed model can improve the accuracy of spam identification.