{"title":"基于粗糙集和支持向量机的电子邮件分类模型","authors":"Zhiqing Zhu","doi":"10.1109/FSKD.2008.658","DOIUrl":null,"url":null,"abstract":"The communication via email is one of the most popular services of the Internet. Emails have brought us great convenience in our daily work and life. However, unsolicited messages or spam, flood our email boxes, which results in bandwidth, time and money wasting. To this end, this paper presents a novel approach based on rough set theory and supporter vector machine is proposed to classify emails. The experiment results show this approach can get high recognition ratio and reduce the cost of calculation.","PeriodicalId":208332,"journal":{"name":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"An Email Classification Model Based on Rough Set and Support Vector Machine\",\"authors\":\"Zhiqing Zhu\",\"doi\":\"10.1109/FSKD.2008.658\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The communication via email is one of the most popular services of the Internet. Emails have brought us great convenience in our daily work and life. However, unsolicited messages or spam, flood our email boxes, which results in bandwidth, time and money wasting. To this end, this paper presents a novel approach based on rough set theory and supporter vector machine is proposed to classify emails. The experiment results show this approach can get high recognition ratio and reduce the cost of calculation.\",\"PeriodicalId\":208332,\"journal\":{\"name\":\"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FSKD.2008.658\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FSKD.2008.658","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Email Classification Model Based on Rough Set and Support Vector Machine
The communication via email is one of the most popular services of the Internet. Emails have brought us great convenience in our daily work and life. However, unsolicited messages or spam, flood our email boxes, which results in bandwidth, time and money wasting. To this end, this paper presents a novel approach based on rough set theory and supporter vector machine is proposed to classify emails. The experiment results show this approach can get high recognition ratio and reduce the cost of calculation.
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