A Methodology for Intelligent E-Mail Management

We present, in the context of the intelligent Information Retrieval, a soft-computing based methodology that enables the efficient e-mail management. We use fuzzy logic technologies and a data mining process for automatic classification of large amounts of e-mails in a folder organization. It is also presented a process to deal with the incoming messages to keep the achieved structure. The aim is to make possible an optimum exploitation of the information contained in these messages. Therefore, we apply Fuzzy Deformable Prototypes for the knowledge representation. The effectiveness of the method has been proved by applying these techniques in an IR system. The documents considered are composed by a set of e-mail messages produced by some distribution lists with different subjects and languages.