A Case-Based Technique for Tracking Concept Drift in Spam Filtering

Author:

Delany Sarah Jane,Cunningham Pádraig,Tsymbal Alexey,Coyle Lorcan

Publisher

Springer London

Reference35 articles.

1. Spira J. Spam E-Mail and its Impact on IT Spending and Productivity, Basex Report 2003, http://www.basex.com/poty2003.nsfl

2. Lenz M, Auriol E, Manago M. Diagnosis and Decision Support. In: M. Bartsch-Sporl, H. D. B., and Wess, S. (eds) Case-Based Reasoning Technology: From Foundations to Applications, Springer-Verlag, 1998 LNCS 104

3. Androutsopoulos I, Paliouras G, Michelakis E. Learning to Filter Unsolicited Commercial E-Mail. Tech rpt 2004/2, 2004, NCSR “Demokritos”, http://www.iit.demokritos.gr/skel/iconfig/publications/

4. Androutsopoulos I, Koutsias J, Paliouras G, Karkaletsis V, Sakkis G, Spyropoulos C, Stamatopoulos, P. Learning to filter spam e-mail: A comparison of a naive Bayesian and a memory-based approach. In: 4th PKDD Workshop on Machine Learning and Textual Information Access. 2000

5. Pantel P, Lin D. SpamCop: A spam classification and organization program. In: Learning for Text Categorization—Papers from the AAAI Workshop, Madison Wisconsin, 1998, 95–98. AAAI Technical Report WS-98-05

Cited by 19 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. Towards Addressing Problem-Distribution Drift with Case Discovery;Case-Based Reasoning Research and Development;2023

2. Handling Concept Drift in Global Time Series Forecasting;Palgrave Advances in the Economics of Innovation and Technology;2023

3. No Time like the Present: Effects of Language Change on Automated Comment Moderation;2022 IEEE 24th Conference on Business Informatics (CBI);2022-06

4. Modeling and mitigating human annotation errors to design efficient stream processing systems with human-in-the-loop machine learning;International Journal of Human-Computer Studies;2022-04

5. Online learning of neural networks using random projections and sliding window: A case study of a real industrial process;Engineering Applications of Artificial Intelligence;2021-04

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