用户也可以覆盖自动处理异常模式。

Users can also override Automatic mode with exceptions.

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另外，异常检测能够分析用户的(行为)模式，作为一个程序每天都要执行的。

At another level, anomaly detection can investigate user patterns, such as profiling the programs executed daily.

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其思想是通过将网络审计数据转化为时序数据库，对其进行序列模式挖掘以提炼出用户行为模式，并由此进行异常检测。

The idea is to transform the net audit data into time series database and mine the sequence pattern to extract the user behavior pattern , and then to use behavior pattern in anomaly detection.

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