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.
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。
Your default behavior is to name the users' account (and, by association, their file share and blog) using the pattern user-photos, where user is the user's login ID.
默认的行为是使用模式user - photos命名用户帐号(以及连带的文件共享和blog)，其中的user是用户的登录ID。
Each user naturally forms a mental image about how the software performs its task. The mind looks for some pattern of cause and effect to gain insight into the machine's behavior.
每个用户都自然地对软件如何执行任务有一个心理想像，这种想像寻找原因—效果模式来深入了解机器的行为。
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