Combining Model for Spam Detection

Rui Zhang-xian · Computer Knowledge and Technology · 2007

Machine learning and data mining can be effectively used to model classify and discover interesting information for a wide variety of data, including email. Depending upon the task, one can usually achieve very high accuracy, but with some amount of false positive tradeoff. Much work has been done to improve specific algorithms for the task of detecting unwanted messages .Now introduce a new combining model to decrease false positive detection ratio.

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