Automatic Categorization of Email into Folders by Ant Colony Decision Tree and Social Networks
This paper presents a new approach to an automatic categorization of email messages into mailbox folders. The aim of this paper is to create an algorithm that would allow one to improve the classification of emails into folders by using solutions that have been applied in Ant Colony Decision Tree (ACDT). Additionally, elements of Social Network Analysis (SNA) were included in this algorithm. The new algorithm that is proposed here was tested on the publicly available Enron E-mail data set and all experiments were conducted on uncleaned data. For the purpose of comparing the results, additional tests were carried out by using selected classifiers which were generally available. The obtained results confirm that the proposed approach allows one to improve the accuracy with which new emails are assigned to particular folders based on an analysis of previous correspondence, even when uncleaned data sets are used.
KeywordsAnt colony optimization Social network analysis Enron E-mail
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