1. Spam Filtering

2. From: "" Subject: real estate is the only way... gem oalvgkay Anyone can buy real estate with no money down Stop paying rent TODAY ! There is no need to spend hundreds or even thousands for similar courses I am 22 years old and I have already purchased 6 properties using the methods outlined in this truly INCREDIBLE ebook. Change your life NOW ! ================================================= Click Below to order: http://www.wholesaledaily.com/sales/nmd.htm =================================================

4. Approaches Manual Classification Hand-Coded Rules Machine Learning

5. Hand-Coded Rules For example http://spamassassin.apache.org/tests_3_3_x.html “Dear Friend, …!!!!!!”

6. Machine Learning Paul Graham: A Plan for Spam http://www.paulgraham.com/spam.html

7. Machine Learning Advantages You don’t have to read so many spams to recognize spam features. You know what you are measuring: probabilities instead of mysterious scores. It automatically discovers spam features that you may have neglected. ff0000 It considers all the evidence in the email: both good and bad.

8. Machine Learning Advantages It is personalized: each user has his own spam filter based on the actual mails he receives Pharmacy It is evolving with the spam. Viagra => V1agra

9. Machine Learning For example http://www.google.com/mail/help/fightspam/spamexplained.html When the Gmail community votes with their clicks to report a particular email as spam, our system quickly learns to start blocking similar messages. And machine-learning algorithms developed to merge and rank large sets of Google search results allow us to combine hundreds of factors to classify spam.

10. Machine Learning For example

11. Machine Learning Beyond Spam Filtering Automatic Email Classification http://getpopfile.org/

12. Machine Learning Beyond Spam Filtering Smart Labels http://mail.google.com/mail/help/priority-inbox.html

13. Machine Learning Beyond Spam Filtering Priority Inbox http://mail.google.com/mail/help/priority-inbox.html