On using an ensemble approach of AIS and SVM for text classification

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2010

Autores

Mário Antunes (Autor) FCUP; Catarina Silva (Autor) Outra; Bernardete Ribeiro (Autor) Outra; Manuel Correia (Autor) FCUP

Ata de Conferência Internacional

Título: Proceedings of 5st Workshop on Applications of Computational Intelligence (WACI)

WACI 10

Coimbra, Portugal, 2 December 2010

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia de computadores

Outras Informações

Abstract (EN): Artificial Immune Systems (AIS) and Support Vector Machines (SVM) are grounded on two radically different conceptual paradigms, each one having intrinsic distinctive features suitable to be successfully applied in dynamic real world applications. One of such applications is the classification of textual documents where each approach individually has proved to obtain promising results. In this paper we aim to present an hybrid system for text classification based on the ensemble of both AIS and SVM approaches. In AIS we explore a binary classification methodology derived from an immunological model which stats that for activation thresholds for T-cells activation is based on the recent history of their iterations with the environment. Regarding the SVM we take advantage of a non-evolutionary implementation that produced remarkable results with text classification. We report some preliminary results on the well-known Reuters-21578 benchmark, showing promising classification performance gains, resulting in a classification that improves upon all baseline contributors of the ensemble committee.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Notas: ISBN: 978-989-8331-10-6. - IEEE Portuguese Chapter. http://www.isec.pt/eventos/deis/waci10/