QQ客服 官方微博 反馈留言

	Email Classification Research Trends: Review and Open Issues
	LiyanaShuib; RamGopalRaj; GhulamMujtaba; NahdiaMajeed; MohammedAliAl-Garadi
刊名	IEEE Access
	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.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。