Naive Bayes spam filtering (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Naive Bayes spam filtering" in English language version.

refsWebsite

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12web.archive.org

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3sourceforge.net

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2doi.org

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1books.google.com

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1stanford.edu

179^th place

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1mozillazine.org

low place

1ubuntu.com

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1symantec.com

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6,668^th place

1process.com

low place

1linuxjournal.com

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1nuclearelephant.com

low place

1paulgraham.com

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1google.com

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1arxiv.org

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1harvard.edu

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1worldcat.org

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arxiv.org

Androutsopoulos, Ion; Paliouras, Georgios; Karkaletsis, Vangelis; Sakkis, Georgios; Spyropoulos, Constantine D.; Stamatopoulos, Panagiotis (2000). Gallinari, P; Rajman, M; Zaragoza, H (eds.). "Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach". 4th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD-2000). Lyon, France: Software and Knowledge Engineering Laboratory Institute of Informatics and Telecommunications National Centre for Scientific Research “Demokritos”: 1–13. arXiv:cs/0009009. Bibcode:2000cs........9009A.

books.google.com

Brunton, Finn (2013). Spam: A Shadow History of the Internet. MIT Press. p. 136. ISBN 9780262018876. Archived from the original on 2019-03-23. Retrieved 2017-09-13.

doi.org

Zhu, Z.; Jia, Z; Xiao, H; Zhang, G; Liang, H.; Wang, P. (2014). Li, S; Jin, Q; Jiang, X; Park, J (eds.). "A Modified Minimum Risk Bayes and It's [sic] Application in Spam". Lecture Notes in Electrical Engineering. 269. Dordrecht: Springer: 2155–2159. doi:10.1007/978-94-007-7618-0_261.
Zheng, J.; Tang, Yongchuan (2005). "One Generalization of the Naive Bayes to Fuzzy Sets and the Design of the Fuzzy Naive Bayes Classifier". In Mira, Jose; Álvarez, Jose R (eds.). Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach. Lecture Notes in Computer Science. Vol. 3562. Berlin: Springer, Berlin, Heidelberg. p. 281. doi:10.1007/11499305_29. ISBN 978-3-540-26319-7. ISSN 0302-9743.

google.com

"Gmail uses Google's innovative technology to keep spam out of your inbox". Archived from the original on 2015-09-13. Retrieved 2015-09-05.

harvard.edu

ui.adsabs.harvard.edu

Androutsopoulos, Ion; Paliouras, Georgios; Karkaletsis, Vangelis; Sakkis, Georgios; Spyropoulos, Constantine D.; Stamatopoulos, Panagiotis (2000). Gallinari, P; Rajman, M; Zaragoza, H (eds.). "Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach". 4th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD-2000). Lyon, France: Software and Knowledge Engineering Laboratory Institute of Informatics and Telecommunications National Centre for Scientific Research “Demokritos”: 1–13. arXiv:cs/0009009. Bibcode:2000cs........9009A.

linuxjournal.com

Gary Robinson (2003). "A statistical approach to the spam problem". Linux Journal. Archived from the original on 2010-10-22. Retrieved 2007-07-19.

mozillazine.org

kb.mozillazine.org

"Junk Mail Controls". MozillaZine. November 2009. Archived from the original on 2012-10-23. Retrieved 2010-01-16.

nuclearelephant.com

bnr.nuclearelephant.com

Jonathan A. Zdziarski (2004). "Bayesian Noise Reduction: Contextual Symmetry Logic Utilizing Pattern Consistency Analysis".^{[permanent dead link‍]}

paulgraham.com

Paul Graham (2002), A Plan for Spam Archived 2004-04-04 at the Wayback Machine

process.com

Process Software, Introduction to Bayesian Filtering Archived 2012-02-06 at the Wayback Machine

sourceforge.net

spambayes.sourceforge.net

"Background Reading". SpamBayes project. 2010-09-18. Archived from the original on 6 September 2010. Retrieved 2010-09-18. Sharpen your pencils, this is the mathematical background (such as it is).* The paper that started the ball rolling: Paul Graham's A Plan for Spam.* Gary Robinson has an interesting essay suggesting some improvements to Graham's original approach.* Gary Robinson's Linux Journal article discussed using the chi squared distribution.

crm114.sourceforge.net

"Archived copy". Archived from the original on 2016-10-07. Retrieved 2016-07-09.{{cite web}}: CS1 maint: archived copy as title (link)

spamprobe.sourceforge.net

Brian Burton (2003). "SpamProbe - Bayesian Spam Filtering Tweaks". Archived from the original on 2012-03-01. Retrieved 2009-01-19.

stanford.edu

robotics.stanford.edu

M. Sahami; S. Dumais; D. Heckerman; E. Horvitz (1998). "A Bayesian approach to filtering junk e-mail" (PDF). AAAI'98 Workshop on Learning for Text Categorization. Archived (PDF) from the original on 2007-09-27. Retrieved 2007-08-15.

symantec.com

eval.symantec.com

Dylan Mors & Dermot Harnett (2009). "State of Spam, a Monthly Report - Report #33" (PDF). Archived from the original (PDF) on 2009-10-07. Retrieved 2009-12-30.

ubuntu.com

manpages.ubuntu.com

"Installation". Ubuntu manuals. 2010-09-18. Archived from the original on 29 September 2010. Retrieved 2010-09-18. Gary Robinson's f(x) and combining algorithms, as used in SpamAssassin

web.archive.org

Brunton, Finn (2013). Spam: A Shadow History of the Internet. MIT Press. p. 136. ISBN 9780262018876. Archived from the original on 2019-03-23. Retrieved 2017-09-13.
M. Sahami; S. Dumais; D. Heckerman; E. Horvitz (1998). "A Bayesian approach to filtering junk e-mail" (PDF). AAAI'98 Workshop on Learning for Text Categorization. Archived (PDF) from the original on 2007-09-27. Retrieved 2007-08-15.
"Junk Mail Controls". MozillaZine. November 2009. Archived from the original on 2012-10-23. Retrieved 2010-01-16.
"Installation". Ubuntu manuals. 2010-09-18. Archived from the original on 29 September 2010. Retrieved 2010-09-18. Gary Robinson's f(x) and combining algorithms, as used in SpamAssassin
"Background Reading". SpamBayes project. 2010-09-18. Archived from the original on 6 September 2010. Retrieved 2010-09-18. Sharpen your pencils, this is the mathematical background (such as it is).* The paper that started the ball rolling: Paul Graham's A Plan for Spam.* Gary Robinson has an interesting essay suggesting some improvements to Graham's original approach.* Gary Robinson's Linux Journal article discussed using the chi squared distribution.
"Archived copy". Archived from the original on 2016-10-07. Retrieved 2016-07-09.{{cite web}}: CS1 maint: archived copy as title (link)
Dylan Mors & Dermot Harnett (2009). "State of Spam, a Monthly Report - Report #33" (PDF). Archived from the original (PDF) on 2009-10-07. Retrieved 2009-12-30.
Process Software, Introduction to Bayesian Filtering Archived 2012-02-06 at the Wayback Machine
Gary Robinson (2003). "A statistical approach to the spam problem". Linux Journal. Archived from the original on 2010-10-22. Retrieved 2007-07-19.
Brian Burton (2003). "SpamProbe - Bayesian Spam Filtering Tweaks". Archived from the original on 2012-03-01. Retrieved 2009-01-19.
Paul Graham (2002), A Plan for Spam Archived 2004-04-04 at the Wayback Machine
"Gmail uses Google's innovative technology to keep spam out of your inbox". Archived from the original on 2015-09-13. Retrieved 2015-09-05.

worldcat.org

search.worldcat.org

Zheng, J.; Tang, Yongchuan (2005). "One Generalization of the Naive Bayes to Fuzzy Sets and the Design of the Fuzzy Naive Bayes Classifier". In Mira, Jose; Álvarez, Jose R (eds.). Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach. Lecture Notes in Computer Science. Vol. 3562. Berlin: Springer, Berlin, Heidelberg. p. 281. doi:10.1007/11499305_29. ISBN 978-3-540-26319-7. ISSN 0302-9743.