Search Results for "statistical"

Spam Filtering algorithm support for email, blogs, or any other public documents using statistical bayesian techniques.

SPAM-Buster is a Java application for filtering SPAM based on statistical algorithms (currently Bayesian). The platform independant application can be used as graphical end-user client and additional service for mail server.

Java based mailing list software with features for both statistical and rule based filtering of messages. The purpose is to create an easily extendable system that can be modified to suit the specific needs of the list provider.

A multiuser spam filter for IMAP servers using a simple statistical method. Training is done within any imap mail client. You simply move the mails into the right folders to train the tool. Can be installed server or client side. Using PHP(imap) + Mysql.

SpamGAME is a statistical spam filter based on the GA.M.E. (GAussian Mono-dimensional Environment) algorithm for Text Categorization. It is written in Python and it should run on all platform having a Python interpreter.

You can filter your email using a bayesian like statistical method. Written in 100% Python, easily extensible, and is used as a pop3 proxy to reduce the intrusion on your system.

This project applies statistical text categorization techniques to the domain of spam mail filtering. The goal is to produce mail filtering software that can be trained to recognize spam in a particular individual's email. The statistical models produc