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Overview:
Spam mail classification and filtering is a commonly investigated problem, yet there has been little research into the application of nearest neighbour classifiers in this field. This paper examines the possibility of using a nearest neighbour algorithm for simple, word based spam mail classification. This approach is compared to a neural network, and decision-tree along with results published in another conference paper on the subject.
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| Format: | Size: | 130 KB | |
| Date: | Jan 2009 | ||
| Pages: | 9 |
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