Abstract
The increased use of Internet generalizes the use of e-mail, a medium for information exchange. E-mail is used not only for individual purposes but also in a variety of purposes that users have to process significant volume. In this study, we propose a recommendation agent system the enable users for direct and optimal classification with the recommendation of the applicable category when a mail arrives as a way of efficient management of e-mail. For this purpose, three pre-processing algorithms are suggested for accurate classification, the core part of this study, and, it considers the scalability and reusability with the major filtering part is based on the rule-filtering component.
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© 2004 Springer-Verlag Berlin Heidelberg
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Jeong, OR., Cho, DS. (2004). A Rule Filtering Component Based on Recommendation Agent System for Classifying Email Document. In: Liew, KM., Shen, H., See, S., Cai, W., Fan, P., Horiguchi, S. (eds) Parallel and Distributed Computing: Applications and Technologies. PDCAT 2004. Lecture Notes in Computer Science, vol 3320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30501-9_142
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DOI: https://doi.org/10.1007/978-3-540-30501-9_142
Publisher Name: Springer, Berlin, Heidelberg
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