Email Classification Research Trends: Review and Open Issues | |
LiyanaShuib; RamGopalRaj; GhulamMujtaba; NahdiaMajeed; MohammedAliAl-Garadi | |
刊名 | IEEE Access
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2017 | |
卷号 | Vol.5页码:9044-9064 |
关键词 | Electronic mail Feature extraction Area measurement Databases Computer science Information filters Email classification spam detection phishing detection multi-folder categorization machine learning techniques |
URL标识 | 查看原文 |
公开日期 | [db:dc_date_available] |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/5380973 |
专题 | 上海电子信息职业技术学院 |
作者单位 | 1.Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia 2.Department of Computer Science, Sukkur Institute of Business Administration, Sukkur, Pakistan 3.Department of Information Systems, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia |
推荐引用方式 GB/T 7714 | LiyanaShuib,RamGopalRaj,GhulamMujtaba,et al. Email Classification Research Trends: Review and Open Issues[J]. IEEE Access,2017,Vol.5:9044-9064. |
APA | LiyanaShuib,RamGopalRaj,GhulamMujtaba,NahdiaMajeed,&MohammedAliAl-Garadi.(2017).Email Classification Research Trends: Review and Open Issues.IEEE Access,Vol.5,9044-9064. |
MLA | LiyanaShuib,et al."Email Classification Research Trends: Review and Open Issues".IEEE Access Vol.5(2017):9044-9064. |
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