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Title:
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EMAIL CLASSIFICATION USING RBF NETWORKS |
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Author(s):
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Eric Jiang |
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ISBN:
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978-972-8924-56-0 |
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Editors:
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Nuno Guimarães and Pedro Isaías |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Radial basis function networks, text classification, clustering, information retrieval. |
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Type:
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Short Paper |
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First Page:
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358 |
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Last Page:
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362 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In this paper, a new spam filtering model is proposed that detects and classifies email messages by a radial basis function
(RBF) network. The model utilizes valuable email discriminative and feature frequency distribution information
embedded in training data and can also incorporate additional background email in its learning. The experiments of the
model on two benchmark spam testing corpora and the models performance comparisons with several other popular text
classifiers have shown that the approach is capable of filtering spam email effectively. |
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