基于反向k近邻过滤异常的群数据异常检测
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吴金娥, 王若愚, 段倩倩, 李国强, 琚长江
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Collective Data Anomaly Detection Based on Reverse k-Nearest Neighbor Filtering
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WU Jin’e, WANG Ruoyu, DUAN Qianqian, LI Guoqiang, JÜ Changjiang
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表2 增强数据集下的算法性能对比
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Tab.2 Comparison of algorithm performance in enhanced data set
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| 模式 | 算法名称 | 一阶直方图 | | 二阶直方图 | | | P/% | R/% | F1/% | t/ms | P/% | R/% | F1/% | t/ms | | 集中式刷信誉 | SDD-RkNN | 94.46 | 94.46 | 94.46 | 9671.67 | | 88.00 | 88.00 | 88.00 | 2108.75 | | DBD-RkNN | 96.30 | 96.30 | 96.30 | 4637.67 | | 74.77 | 74.77 | 74.77 | 995.40 | | DSDD-E | 75.17 | 100.00 | 85.70 | 2140.21 | | 49.14 | 91.38 | 63.90 | 565.68 | | 均衡式刷信誉 | SDD-RkNN | 16.92 | 16.92 | 16.92 | 10356.19 | | 79.69 | 79.69 | 79.69 | 1940.85 | | DBD-RkNN | 81.85 | 81.85 | 81.85 | 4913.40 | | 58.46 | 58.46 | 58.46 | 898.06 | | DSDD-E | 23.35 | 13.84 | 17.38 | 2280.15 | | 53.77 | 75.08 | 60.98 | 550.01 |
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