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SpamBayes

SpamBayes is a Bayesian spam filter written in Python which uses techniques laid out by Paul Graham in his essay "A Plan for Spam". It has… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Machine learning systems, though being successful in many real-world applications, are known to remain prone to errors and… Expand
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2009
2009
As long as e-mail exists, spam will be a part of our society. Nowadays, between 90 and 98% of all e-mail is spam. Fortunately… Expand
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Highly Cited
2009
Highly Cited
2009
Using statistical machine learning for making security decisions intro- duces new vulnerabilities in large scale systems. We show… Expand
2008
2008
Abstract : Machine learning techniques are often used for decision making in security critical applications such as intrusion… Expand
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Highly Cited
2008
Highly Cited
2008
Using statistical machine learning for making security decisions introduces new vulnerabilities in large scale systems. This… Expand
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Highly Cited
2007
Highly Cited
2007
  • A. Seewald
  • Intell. Data Anal.
  • 2007
  • Corpus ID: 11193882
We describe an in-depth analysis of spam-filtering performance of a simple Naive Bayes learner and two extended variants. A set… Expand
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Highly Cited
2006
Highly Cited
2006
Statistical-based Bayesian filters have become a popular and important defense against spam. However, despite their effectiveness… Expand
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2005
2005
This paper describes the SpamBayes submissions made to the Spam Track of the 2005 Text Retrieval Conference (TREC). SpamBayes is… Expand
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Highly Cited
2004
Highly Cited
2004
This paper introduces the SpamBayes classification engine and outlines the most important features and techniques which… Expand
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2003
2003
With the popularity of XML for representing & exchanging data, the requirement for agreement between parties on common Schema or… Expand