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Found 2 papers, 1 papers with code
A learning model to detect maliciousness of portable executable using integrated feature set
In the experiments conducted on the novel test data set the accuracy was observed as 89. 23% for the integrated feature set which is 15% improvement on accuracy achieved with raw-feature set alone.
A Survey of Naïve Bayes Machine Learning approach in Text Document Classification
Text Document classification aims in associating one or more predefined categories based on the likelihood suggested by the training set of labeled documents.
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