Research Article
Abnormal User Detection via Multiview Graph Clustering in the Mobile e-Commerce Network
Table 4
Detection results of different models in dataset 1.
| Models | | | F1 | AUC |
| IF | 0.8712 | 0.8804 | 0.8789 | 0.7878 | KNN | 0.8498 | 0.8657 | 0.8562 | 0.7369 | LOF | 0.8511 | 0.8796 | 0.8657 | 0.7542 | GAE+IF | 0.9086 | 0.9178 | 0.9105 | 0.8298 | GAE+KNN | 0.8765 | 0.8814 | 0.8809 | 0.7921 | GAE+LOF | 0.8847 | 0.8998 | 0.8921 | 0.8096 | DeepFD | 0.9229 | 0.9548 | 0.9401 | 0.8556 | FraudNE | 0.9393 | 0.9201 | 0.9305 | 0.8438 | DM-VCDM | 0.9502 | 0.9708 | 0.9628 | 0.8801 |
|
|