Research Article
Abnormal User Detection via Multiview Graph Clustering in the Mobile e-Commerce Network
Table 6
Detection results of different models in dataset 3.
| Models | | | F1 | AUC |
| IF | 0.8011 | 0.8263 | 0.8100 | 0.7207 | KNN | 0.8206 | 0.8053 | 0.8114 | 0.7298 | LOF | 0.7862 | 0.7967 | 0.7901 | 0.6924 | GAE+IF | 0.8401 | 0.8654 | 0.854 | 0.7610 | GAE+KNN | 0.8605 | 0.8202 | 0.8417 | 0.7513 | GAE+LOF | 0.8252 | 0.8367 | 0.8304 | 0.7458 | DeepFD | 0.8580 | 0.9003 | 0.8803 | 0.7892 | FraudNE | 0.8771 | 0.9066 | 0.8954 | 0.8045 | DM-VCDM | 0.9056 | 0.9351 | 0.9241 | 0.8386 |
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