Email Mining: A Survey
- Deprecated function: implode(): Passing glue string after array is deprecated. Swap the parameters in drupal_get_feeds() (line 394 of C:\inetpub\vhosts\axware.nl\httpdocs\includes\common.inc).
- Deprecated function: The each() function is deprecated. This message will be suppressed on further calls in menu_set_active_trail() (line 2430 of C:\inetpub\vhosts\axware.nl\httpdocs\includes\menu.inc).
E-mail is one of the most widely used ways of written communication over the internet, and its traffic has increased exponentially with the advent of World Wide Web. The increase in email traffic comes also with an increase in the use of emails for illegitimate purpose. Phishing, Spamming, email bombing, threatening, cyber bullying, racial vilification, terrorist activities, child pornography and sexual harassment are common examples of e-mail abuses. So, there is a need for e-mail mining. Various methods and approaches were used by the scientists for classification of email messages in above categories. In this paper we are presenting various techniques and approaches used by researchers for email mining and subsequent classification.