Abstract
This paper presents a new approach to an automatic categorization of email messages into folders. The aim of this paper is to create a new algorithm that will allow one to improve the accuracy with which emails are assigned to folders (Email Foldering Problem) by using solutions that have been applied in Ant Colony Optimization algorithms (ACO) and Social Networks Analysis (SNA). The new algorithm that is proposed here has been tested on the publicly available Enron email data set. The obtained results confirm that this approach allows one to better organize new emails into folders based on an analysis of previous correspondence.
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