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Authors: Paulo Cortez 1 ; Rui Vaz 1 ; Miguel Rocha 1 ; Miguel Rio 2 and Pedro Sousa 1

Affiliations: 1 Universidade do Minho, Portugal ; 2 University College London, United Kingdom

Keyword(s): Collaborative Filtering, Content-based Filtering, Evolutionary Algorithms, Feature Selection, Naive Bayes, Spam Email, Symbiotic Filtering, Text Classification.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Computational Intelligence ; Enterprise Information Systems ; Evolutionary Computation and Control ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Machine Learning in Control Applications ; Soft Computing

Abstract: This work presents a symbiotic filtering approach enabling the exchange of relevant word features among different users in order to improve local anti-spam filters. The local spam filtering is based on a Content-Based Filtering strategy, where word frequencies are fed into a Naive Bayes learner. Several Evolutionary Algorithms are explored for feature selection, including the proposed symbiotic exchange of the most relevant features among different users. The experiments were conducted using a novel corpus based on the well known Enron datasets mixed with recent spam. The obtained results show that the symbiotic approach is competitive.

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Paper citation in several formats:
Cortez, P.; Vaz, R.; Rocha, M.; Rio, M. and Sousa, P. (2012). Evolutionary Symbiotic Feature Selection for Email Spam Detection. In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-8565-21-1; ISSN 2184-2809, SciTePress, pages 159-164. DOI: 10.5220/0004010201590164

@conference{icinco12,
author={Paulo Cortez. and Rui Vaz. and Miguel Rocha. and Miguel Rio. and Pedro Sousa.},
title={Evolutionary Symbiotic Feature Selection for Email Spam Detection},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2012},
pages={159-164},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004010201590164},
isbn={978-989-8565-21-1},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Evolutionary Symbiotic Feature Selection for Email Spam Detection
SN - 978-989-8565-21-1
IS - 2184-2809
AU - Cortez, P.
AU - Vaz, R.
AU - Rocha, M.
AU - Rio, M.
AU - Sousa, P.
PY - 2012
SP - 159
EP - 164
DO - 10.5220/0004010201590164
PB - SciTePress