Abstract
With e-mail use continuing to explode, the e-mail users are demanding a method that can classify e-mails more and more efficiently. The previous works on the e-mail classification problem have been focused on mainly a binary classification that filters out spam-mails. Other approaches used clustering techniques for the purpose of solving multi-category classification problem. But these approaches are only methods of grouping e-mail messages by similarities using distance measure. In this paper, we propose of e-mail classification agent combining category generation method based on the vector model and dynamic category hierarchy reconstruction method. The proposed agent classifies e-mail automatically whenever it is needed, so that a large volume of e-mails can be managed efficiently
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© 2005 Springer-Verlag Berlin Heidelberg
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Park, S., Park, SH., Lee, JH., Lee, JS. (2005). E-mail Classification Agent Using Category Generation and Dynamic Category Hierarchy. In: Kim, T.G. (eds) Artificial Intelligence and Simulation. AIS 2004. Lecture Notes in Computer Science(), vol 3397. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30583-5_22
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DOI: https://doi.org/10.1007/978-3-540-30583-5_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24476-9
Online ISBN: 978-3-540-30583-5
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