Research Article
Abnormal User Detection via Multiview Graph Clustering in the Mobile e-Commerce Network
Table 5
Detection results of different models in dataset 2.
| Models | | | F1 | AUC |
| IF | 0.8344 | 0.8172 | 0.8245 | 0.7326 | KNN | 0.821 | 0.8045 | 0.8153 | 0.7216 | LOF | 0.8492 | 0.8207 | 0.8355 | 0.7452 | GAE+IF | 0.8847 | 0.8379 | 0.8622 | 0.7764 | GAE+KNN | 0.8679 | 0.844 | 0.8547 | 0.7629 | GAE+LOF | 0.8705 | 0.881 | 0.8776 | 0.7850 | DeepFD | 0.9246 | 0.8779 | 0.9071 | 0.8121 | FraudNE | 0.9054 | 0.8655 | 0.8886 | 0.7954 | DM-VCDM | 0.9398 | 0.9033 | 0.9222 | 0.8315 |
|
|