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dc.contributor.authorGarg, Raman
dc.contributor.authorChauhdhary, Priyanshu
dc.date.accessioned2024-09-19T09:14:01Z
dc.date.available2024-09-19T09:14:01Z
dc.date.issued2023-05
dc.identifier.urihttp://10.10.11.6/handle/1/18186
dc.descriptionSCHOOL OF COMPUTING SCIENCE AND ENGINEERING DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING / DEPARTMENT OF COMPUTERAPPLICATION GALGOTIAS UNIVERSITY, GREATER NOIDAen_US
dc.description.abstractEmail spam is a chronic issue that annoys users and wastes time in inboxes all across the world. It is becoming more difficult to filter out unwanted and potentially hazardous emails due to the rise in email usage. Therefore, it is crucial to create methods that can automatically recognise and categorise spam emails.en_US
dc.language.isoen_USen_US
dc.publisherGalgotias Universityen_US
dc.subjectE-MAILen_US
dc.subjectSPAMen_US
dc.subjectCLASSIFIERen_US
dc.titleE-MAIL SPAM CLASSIFIERen_US
dc.typeTechnical Reporten_US


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