Spam
From BC$ MobileTV Wiki
Spam is email which is fraudulent or which matches a given pattern for faulty information, or excessive/bulk messages sent to multiple unsolicited receivers. It is an increasing global epidemic on the internet, with estimates that many employees now spend as much as 1/4 of their email management/communication time sorting through spam emails, deleting messages from their inbox and/or freeing messages from their email account by purging their junk mail folder.
Tools
- SpamBayes: http://spambayes.sourceforge.net/
Resources
- Master NewMedia - How to Avoid the Junk Box (avoid being marked as SPAM): http://www.masternewmedia.org/news/2008/05/24/spam_checking_tools_and_tips.htm
Tutorials
- Stanford NLP and Java 9 - Creating an Email Spam Filter: https://dzone.com/articles/stanford-nlp-and-java-9creating-an-email-spam-filt
- Naїve Bayesian Anti-Spam Filter Using Node.JS, JavaScript And Ajax Requests: https://www.codeproject.com/Articles/1229337/Na-ve-Bayesian-Anti-Spam-Filter-Using-Node-JS-Java
- PHP Bayesian Spam Filter -- Detect spam in text using Bayesian techniques: https://www.phpclasses.org/package/4236-PHP-Detect-spam-in-text-using-Bayesian-techniques.html[1]
- Bayesian Spam Filter using NLTK (Python): https://github.com/aashishsatya/Bayesian-Spam-Filter [2]
- Bayesian Filtering for Spam tutorial: http://blog.datumbox.com/machine-learning-tutorial-the-naive-bayes-text-classifier/
External Links
- wikipedia: Spam (electronic)
- wikipedia: Email spam
- wikipedia: Naive Bayes spam filtering
- Domain registration scam in China: http://www.joewein.net/blog/2008/12/08/domain-registration-scam-in-china/
- Diving deep into email spam statistics: http://royal.pingdom.com/2011/01/19/email-spam-statistics/
- WikiMedia Spam – Lock Media Wiki Permissions down: http://blog.woodylabs.com/2009/10/wikimedia-spam-lock-media-wiki-permissions-down/
- WikiMedia - Manual:Preventing access: http://www.mediawiki.org/wiki/Manual:Preventing_access
- Grum takedown - '50% of worldwide spam is gone': http://money.cnn.com/2012/07/19/technology/grum-spam-botnet/index.htm?iid=HP_LN
- The Spam King: http://http://www.reviewjournal.com/lvrj_home/2003/Dec-14-Sun-2003/news/22615610.html
- Evaluation of Bayesian Spam Filter and SVM SpamFilter: www.fun.ac.jp/~niimi/ronbun/TUE-3-3.pdf
References
- ↑ Combining individual probabilities in Naive Bayesian spam filtering: https://stackoverflow.com/questions/6463983/combining-individual-probabilities-in-naive-bayesian-spam-filtering
- ↑ Bayesian spam filtering library for Python: https://stackoverflow.com/questions/558219/bayesian-spam-filtering-library-for-python
