Research Article
Abnormal User Detection via Multiview Graph Clustering in the Mobile e-Commerce Network
Table 9
Results of running time tests (s).
| Models | Dataset 1 | Dataset 2 | Dataset 3 | Dataset 4 |
| IF | 1.3835 | 0.9491 | 1.8997 | 1.3946 | KNN | 0.9694 | 0.6118 | 1.9562 | 0.9261 | LOF | 0.3776 | 0.2199 | 0.4463 | 0.4444 | CAE+IF | 109.6416 | 60.5061 | 132.0117 | 107.1775 | CAE+KNN | 69.8979 | 46.4376 | 116.7697 | 67.4992 | CAE+LOF | 57.9402 | 29.6497 | 54.1312 | 43.5095 | DeepFD | 30.9515 | 37.2577 | 32.6546 | 22.5648 | FraudNE | 33.6465 | 45.6109 | 41.3464 | 28.8446 | DM-VCDM | 53.7763 | 61.9759 | 50.9191 | 42.8212 |
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