Research Article
Abnormal User Detection via Multiview Graph Clustering in the Mobile e-Commerce Network
Table 7
Detection results of different models in dataset 4.
| Models | | | F1 | AUC |
| IF | 0.7640 | 0.7366 | 0.7512 | 0.6641 | KNN | 0.7532 | 0.7181 | 0.7305 | 0.6372 | LOF | 0.7398 | 0.7257 | 0.7321 | 0.6424 | GAE+IF | 0.826 | 0.801 | 0.8155 | 0.7254 | GAE+KNN | 0.8036 | 0.7834 | 0.7903 | 0.7025 | GAE+LOF | 0.7957 | 0.7767 | 0.7825 | 0.6987 | DeepFD | 0.9003 | 0.8866 | 0.8954 | 0.8052 | FraudNE | 0.8760 | 0.8564 | 0.8662 | 0.7758 | DM-VCDM | 0.9204 | 0.9398 | 0.9301 | 0.8468 |
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