Combining multiple email filters based on multivariate statistical analysis
W Li, N Zhong, C Liu - International symposium on methodologies for …, 2006 - Springer
W Li, N Zhong, C Liu
International symposium on methodologies for intelligent systems, 2006•SpringerIn this paper, we investigate how to combine multiple e-mail filters based on multivariate
statistical analysis for providing a barrier to spam, which is stronger than a single filter alone.
Three evaluation criteria are suggested for cost-sensitive filters, and their rationality is
discussed. Furthermore, a principle that minimizes the error cost is described to avoid
filtering an e-mail of “Legitimate” into “Spam”. Comparing with other major methods, the
experimental results show that our method of combining multiple filters has preferable …
statistical analysis for providing a barrier to spam, which is stronger than a single filter alone.
Three evaluation criteria are suggested for cost-sensitive filters, and their rationality is
discussed. Furthermore, a principle that minimizes the error cost is described to avoid
filtering an e-mail of “Legitimate” into “Spam”. Comparing with other major methods, the
experimental results show that our method of combining multiple filters has preferable …
Abstract
In this paper, we investigate how to combine multiple e-mail filters based on multivariate statistical analysis for providing a barrier to spam, which is stronger than a single filter alone. Three evaluation criteria are suggested for cost-sensitive filters, and their rationality is discussed. Furthermore, a principle that minimizes the error cost is described to avoid filtering an e-mail of “Legitimate” into “Spam”. Comparing with other major methods, the experimental results show that our method of combining multiple filters has preferable performance when appropriate running parameters are adopted.
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