Authors:
Francisco P. Romero
1
and
Jose A. Olivas
2
Affiliations:
1
Soluziona Software Factory, R+D Center Soluziona-UCLM, Spain
;
2
University of Castilla La Mancha, Spain
Keyword(s):
e-mail, soft-computing, fuzzy logic, automatic classification, clustering.
Related
Ontology
Subjects/Areas/Topics:
Advanced Applications of Fuzzy Logic
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Business Analytics
;
Data Engineering
;
Data Mining
;
Databases and Information Systems Integration
;
Datamining
;
Enterprise Information Systems
;
Health Information Systems
;
Natural Language Interfaces to Intelligent Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
Abstract:
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.