A Comparative Study for Email Classification

Author:

Youn Seongwook,McLeod Dennis

Publisher

Springer Netherlands

Reference19 articles.

1. I. Androutsopoulos, G. Paliouras, V. Karkaletsis, G. Sakkis, C. Spyropoulos, and P. Stamatopoulos, “Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach,” CoRR cs.CL/0009009, 2000.

2. W. Cohen, “Learning rules that classify e-mail,” In Proc. of the AAAI Spring Symposium on Machine Learning in Information Access, 1996.

3. B. Cui, A. Mondal, J. Shen, G. Cong, and K. Tan, “On Effective E-mail Classification via Neural Networks,” In Proc. of DEXA, 2005, pp. 85-94.

4. E. Crawford, I. Koprinska, and J. Patrick, “Phrases and Feature Selection in E-Mail Classification,” In symposium of ADCS, 2004, pp. 59-62.

5. Y. Diao, H. Lu, and D. Wu, “A comparative study of classification based personal e-mail filtering,” In Proc. of fourth PAKDD, 2000.

Cited by 57 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. NLP-Driven Strategies for Effective Email Spam Detection: A Performance Evaluation;2023 International Conference on Sustainable Communication Networks and Application (ICSCNA);2023-11-15

2. Phish and Chips: Language-agnostic classification of unsolicited emails;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01

3. Classification of texts on emergency situations in Almaty;Kompleksnoe Ispolʹzovanie Mineralʹnogo syrʹâ/Complex Use of Mineral Resources/Mineraldik Shikisattardy Keshendi Paidalanu;2023-04-30

4. Automatic SMS Spam Filtering for Disaster Response Using Classification Algorithms;Proceedings of Fourth International Conference on Computing, Communications, and Cyber-Security;2023

5. Classification Approach for Industry Standards Categorization;2022 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON);2022-01-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3