数据分析融合了异常检测和误用检测两种方法，提出了相应的检测模型，并引入了滤噪函数。

The data analysis integrates the two detection methods: anomaly and misuse, which provides corresponding detection models and introduces the noise filtering function.

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仿真结果表明，在大多数情况下，学习调整后的知识模型能够提高误用检测系统的检测率。

Test results displayed that, under most circumstances, system detection rate was increased when the attack knowledge model was adjusted after learning.

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仿真结果表明，在大多数情况下，学习调整后的知识模型能够提高误用检测系统的检测率。

Test results displayed that, under most circumstances, system detection rate was increased when the attack knowledge model was adjusted after learning.

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