FzMail: Using FIS-CRM for E-mail Classification | Zendy

Francisco P. Romero | Zendy; José Á. Olivas | Zendy; Pablo J. Garcés | Zendy

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FzMail: Using FIS-CRM for E-mail Classification

Author(s) -

Francisco P. Romero,

José Á. Olivas,

Pablo J. Garcés

Publication year - 2007

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2007.p0040

Subject(s) - computer science , representation (politics) , set (abstract data type) , fuzzy logic , process (computing) , fuzzy set , data mining , information retrieval , artificial intelligence , politics , political science , law , programming language , operating system

In this work a brief summary of FIS-CRM (Fuzzy Interrelations and Synonymy Conceptual Representation Model) and its application to intelligent e-mail management are presented. FzMail tool is based on a soft computing methodology for automatic classification of the mailbox into a fuzzy and hierarchical structure of groups of “conceptually related” messages. FIS-CRM is used to conceptually represent messages and it is also used in the process carried out to deal with the incoming messages in order to keep the achieved conceptual organization. The aim is to make an optimum exploitation of the concepts contained in these messages possible. Therefore, we apply Fuzzy Deformable Prototypes for the document clusters 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 about different subjects and languages.

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