Method for detecting spam electronic-mails, involves using machine learning models to detect spam electronic-mails from real Gmail account and delete electronic-mails, which are detected as spam, where logistic regression machine learning model aids in identifying spam electronic-mails
	HABIBA U H; JAYASUKUMARI I; TEJA A A; MAHESH B; KUMAR B K
	2023-10-16
专利权人	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
申请日期	2023-10-16
专利号	IN202341069707-A
成果简介	NOVELTY - The method involves using machine learning models to detect spam electronic-mails from real Gmail(RTM: Electronic-mail service) account and delete the electronic-mails, which are detected as spam, where a logistic regression machine learning model aids in identifying spam electronic-mails and deletion of electronic-mails from Gmail(RTM: Electronic-mail service) account. USE - Method for detecting spam electronic-mails. ADVANTAGE - The method enables performing electronic-mail spam detection with better precision and accuracy.
IPC 分类号	G06N-020/00 ; G06N-020/20 ; G06N-005/00 ; H04L-051/00 ; H04L-051/42
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/19873
专题	中国科学院新疆生态与地理研究所
作者单位	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
推荐引用方式 GB/T 7714	HABIBA U H,JAYASUKUMARI I,TEJA A A,et al. Method for detecting spam electronic-mails, involves using machine learning models to detect spam electronic-mails from real Gmail account and delete electronic-mails, which are detected as spam, where logistic regression machine learning model aids in identifying spam electronic-mails. IN202341069707-A[P]. 2023.

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