| Research on Filtering Feature Selection Methods for E-Mail Spam Detection by Applying K-NN Classifier | |
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| Author | |
| Abstract |
In the present paper, the application of filtering methods to select features when detecting email spam using the K-NN classifier is examined. The experiments include computation of the accuracy and F-measure of the e-mail texts classification with different methods for feature selection, different number of selected features and two ways to find the distance between dataset examples when executing K-NN classifier - Euclidean distance and cosine similarity. The obtained results are summarized and analyzed. |
| Year of Publication |
2022
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| Conference Name |
2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)
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