This repository contains my work to building a spam filter classifier based on the raw Enron email data.
The rough folder structure is as follows:
src/ # Python source root
notebooks/ # Contains code sketches and analysis
data/ # Place holder for data
Spam filtering with Naive Bayes - Which naive bayes?
http://www2.aueb.gr/users/ion/docs/ceas2006_paper.pdf
A plan for spam (2002)
http://www.paulgraham.com/spam.html
Conference on Email and Anti-Spam
http://www.wikicfp.com/cfp/program?id=409&s=CEAS&f=Conference%20on%20Email%20and%20Anti-Spam
A SURVEY OF LEARNING-BASED TECHNIQUES OF EMAIL SPAM FILTERING (2008)
http://eprints.biblio.unitn.it/1070/1/056.pdf
A review of machine learning approaches to spam filtering (2009)
http://s3.amazonaws.com/academia.edu.documents/43906061/A_review_of_machine_learning_approaches_20160319-23716-gvrql2.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1495736598&Signature=vWIxdearTauEAwL73azIyVXQaNg%3D&response-content-disposition=inline%3B%20filename%3DA_review_of_machine_learning_approaches.pdf
Collaboration, Electronic messaging, Anti-Abuse and Spam Conference
http://dblp.uni-trier.de/db/conf/ceas/index.html