| Title | Research on Filtering Feature Selection Methods for E-Mail Spam Detection by Applying K-NN Classifier |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Georgieva-Trifonova, Tsvetanka |
| Conference Name | 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) |
| Date Published | jun |
| Keywords | Euclidean distance, feature extraction, feature selection, Filtering, Human Behavior, human computer interaction, K-NN classifier, Metrics, pubcrawl, robots, Scalability, spam detection, text categorization, unsolicited e-mail |
| 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. |
| DOI | 10.1109/HORA55278.2022.9799999 |
| Citation Key | georgieva-trifonova_research_2022 |
Research on Filtering Feature Selection Methods for E-Mail Spam Detection by Applying K-NN Classifier