Nirmalie Wiratunga and Amandine Orecchioni

PET is partly funded by RGU commercialisation fund. It is an email organisation plug-in for MS-Outlook. It applies ML and CBR indexing techniques to learn a user email organisation preferences. PET consists of the following functionality:

• train on previously organised emails;
• automatically move incoming emails into folders;
• operate in conservative or liberal mode
• periodically refine its knowledge so as to learn from mistakes.

Amandine Orecchioni, Nirmalie Wiratunga, Susan Craw and Stuart Watt

Emails have evolved from a simple medium of communication to a medium of managing complex tasks. The number of emails received daily by a single person has increased exponentially in recent years. Consequently managing email is a demanding manual process and involves multiple tasks: reading and replying; prioritising the reading order; filtering spam and phish emails; avoiding viruses and worms; organising emails into a meaningful folder structure; managing a social network, managing a diary, etc.

The aim of this project is to use DM and ML techniques to automate some of the email management tasks. In particular, we are investigating the usefulness of a CBR approach to addressing the problem.