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Keyword

email classification

Description: Automated categorization of email messages into classes, such as topics or functional categories, using message features or machine-learning methods.
OpenAlex ID: keywords/email-classification
Knowledge-Based Intelligent Information and Engineering Systems
2008 · 高下, 大輝, タカシタ, タイキ, et al. · Lecture notes in computer science · 1,699
N-gram-based text categorization
1994 · William B. Cavnar, John M. Trenkle · 1,615
Support vector machines for spam categorization
1999 · H. Drucker, Donghui Wu, et al. · IEEE Transactions on Neural Networks · 1,472
The Enron Corpus: A New Dataset for Email Classification Research
2004 · Bryan Klimt, Yiming Yang · Lecture notes in computer science · 1,187
The impact of preprocessing on text classification
2013 · Alper Kursat Uysal, Serkan Gunal · Information Processing & Management · 658
Introducing the Enron Corpus.
2004 · Bryan Klimt, Yiming Yang · Conference on Email and Anti-Spam · 570
A review of machine learning approaches to Spam filtering
2009 · Thiago S. Guzella, Walmir M. Caminhas · Expert Systems with Applications · 542
An evaluation of Naive Bayesian anti-spam filtering
2000 · Androutsopoulos, Ion, Koutsias, John, et al. · arXiv (Cornell University) · 532
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A comparison of machine learning techniques for phishing detection
2007 · Saeed Abu-Nimeh, Dario Nappa, et al. · 508
Binary PSO with mutation operator for feature selection using decision tree applied to spam detection
2014 · Yudong Zhang, Shuihua Wang, et al. · Knowledge-Based Systems · 431
Learning Rules that Classify E-Mail
1996 · William W. Cohen · 408
An evaluation of statistical spam filtering techniques
2004 · Le Zhang, Jingbo Zhu, et al. · ACM Transactions on Asian Language Information Processing · 315
Rough set-aided keyword reduction for text categorization
2001 · Alexios Chouchoulas, Qiang Shen · Applied Artificial Intelligence · 266
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Leveraging social networks to fight spam
2005 · P.O. Boykin, V.P. Roychowdhury · Computer · 233
Learning to Classify Email into "Speech Acts".
2004 · William W. Cohen, Vitor R. Carvalho, et al. · 218
Extra-Tree Classifier with Metaheuristics Approach for Email Classification
2019 · Aakanksha Sharaff, Harshil Gupta · Advances in intelligent systems and computing · 205
Detection of online phishing email using dynamic evolving neural network based on reinforcement learning
2018 · Sami Smadi, Nauman Aslam, et al. · Decision Support Systems · 195
Paragraph: Thwarting Signature Learning by Training Maliciously
2006 · James Newsome, Brad Karp, et al. · Lecture notes in computer science · 195
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Active Learning with Feedback on Features and Instances
2006 · Hema Raghavan, Omid Madani, et al. · Journal of Machine Learning Research · 193
Email classification with co-training
2011 · Svetlana Kiritchenko, Stan Matwin · 185
A neural network based approach to automated e-mail classification
2004 · J. Clark, I. Koprinska, et al. · 174
Learning to classify e-mail
2006 · Irena Koprinska, Josiah Poon, et al. · Information Sciences · 171
Improving customer complaint management by automatic email classification using linguistic style features as predictors
2007 · Kristof Coussement, Dirk Van den Poel · Decision Support Systems · 168
Stacking classifiers for anti-spam filtering of e-mail
2001 · Sakkis, G., Androutsopoulos, I., et al. · arXiv (Cornell University) · 167
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Applicability of machine learning in spam and phishing email filtering: review and approaches
2020 · Tushaar Gangavarapu, C. D. Jaidhar, et al. · Artificial Intelligence Review · 164
Works count: 3,366
Citation count: 32,320
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