Application Servers White Papers
Backup Process Used With Clustered Exchange Server 2003 Servers at Microsoft
Overview Growth in the use of email for communication and the corresponding growth in the volume of email received have made automatic processing of email desirable. Two learning methods, naive bayesian learning with bag-valued features and the RIPPER rule-learning algorithm have shown promise in other text categorization tasks. The author presents three experiments in automatic mail foldering and spam filtering, showing that naiyve bayes outperforms RIPPER in classification accuracy.
| Publisher | Microsoft | File Format | WORD |
|---|---|---|---|
| Date Published | December 2004 | ||
| Format | White Papers | ||
| Topics | |||
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