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Title: source code for cosdes a collaborative spam detection system with a novel e mail abstraction scheme
Page Link: source code for cosdes a collaborative spam detection system with a novel e mail abstraction scheme -
Posted By:
Created at: Tuesday 16th of October 2012 03:38:08 PM
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Title: hollister voice mailhollister voice mail
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Title: code for spam detection system using email abstraction scheme
Page Link: code for spam detection system using email abstraction scheme -
Posted By:
Created at: Wednesday 02nd of January 2013 05:22:08 PM
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Title: Web Based Mail Client Connecting To A Linux Server Running a Mail Server and with Tom
Page Link: Web Based Mail Client Connecting To A Linux Server Running a Mail Server and with Tom -
Posted By: Electrical Fan
Created at: Thursday 03rd of September 2009 05:03:18 AM
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This project is about developing a web based mail client connecting to a Linux Server running a Mail Server and with Tomcat
as the Web Server.

The Project has the following main functionality
1. Receiving/Sending/organizing mails using POP3
2. Sending mail using send mail
3. Performing Admin functions like managing new user, resetting passwords etc ....etc

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Title: A Collaborative Spam Detection System with a Novel E-Mail Abstraction Scheme
Page Link: A Collaborative Spam Detection System with a Novel E-Mail Abstraction Scheme -
Posted By: computer girl
Created at: Wednesday 06th of June 2012 05:05:36 PM
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A Collaborative Spam Detection System with a Novel E-Mail Abstraction Scheme



Abstract

E-mail communication is indispensable nowadays, but the e-mail spam problem continues growing drastically. In recent
years, the notion of collaborative spam filtering with near-duplicate similarity matching scheme has been widely discussed. The primary
idea of the similarity matching scheme for spam detection is to maintain a known spam database, formed by user feedback, to block
subsequent near-duplicate spams.

[b ....etc

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Title: Collaborative Span Filtering Using Centralized Incrementally Learning Spam Rules Data
Page Link: Collaborative Span Filtering Using Centralized Incrementally Learning Spam Rules Data -
Posted By: nit_cal
Created at: Saturday 31st of October 2009 05:32:46 PM
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Abstract
A lot of research has been done in the area of spam filtering and several sophisticated methods using artificial intelligence have been proposed. However, most of the open source spam filters available to- day do not provide consistent accuracy levels. Spam assassin, which is at present said to be best open source spam filter, aims at providing a single solution that can satiate the needs of individuals as well as large organizations. It filters spam at various levels using different methods with the idea that spammers will be blocke ....etc

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Title: Collaborative Span Filtering Using Centralized Incrementally Learning Spam Rules Data
Page Link: Collaborative Span Filtering Using Centralized Incrementally Learning Spam Rules Data -
Posted By: nit_cal
Created at: Saturday 31st of October 2009 05:43:34 PM
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Abstract
A lot of research has been done in the area of spam _ltering and several sophisticated methods using arti_cial intelligence have been proposed. However, most of the open source spam _lters available to- day do not provide consistent accuracy levels. Spamassassin, which is at present said to be best open source spam _lter, aims at providing a single solution that can satiate the needs of individuals as well as large organizations. It _lters spam at various levels using di_erent methods with the idea that spammers will be blocked atlea ....etc

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Title: Spam Junk Mail Filter
Page Link: Spam Junk Mail Filter -
Posted By: nit_cal
Created at: Thursday 29th of October 2009 06:28:52 PM
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Title: abstract on e mail filtering to cut out spam
Page Link: abstract on e mail filtering to cut out spam -
Posted By:
Created at: Monday 24th of December 2012 12:17:47 AM
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Title: privacy aware collaborative spam filtering seminars ppt
Page Link: privacy aware collaborative spam filtering seminars ppt -
Posted By:
Created at: Thursday 24th of January 2013 01:22:46 AM
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