Research Article
iBGP: A Bipartite Graph Propagation Approach for Mobile Advertising Fraud Detection
Table 3
iBGP outperforms each part in the seven-day real-world mobile ad dataset in terms of AUC value.
| Date | iBGP | NodeProp | EdgeProp | HITS-o | BP-a |
| 1st June | 0.9362 | 0.5265 | 0.7671 | 0.7723 | 0.7629 | 2nd June | 0.9278 | 0.5477 | 0.8217 | 0.6551 | 0.7758 | 3rd June | 0.9191 | 0.5152 | 0.7897 | 0.7250 | 0.7292 | 4th June | 0.9118 | 0.5091 | 0.7982 | 0.7754 | 0.7309 | 5th June | 0.8870 | 0.4759 | 0.7952 | 0.6457 | 0.7249 | 6th June | 0.8719 | 0.5385 | 0.8041 | 0.7041 | 0.7289 | 7th June | 0.8806 | 0.5120 | 0.7799 | 0.7040 | 0.7069 |
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