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Finding Abnormal Behavior Based on Patterns

机译:基于模式发现异常行为

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摘要

The framework of finding abnormal behaviors based on patterns was proposed, including preparing data, extracting patterns and finding abnormal behaviors. Then, data preprocessing was introduced in the process of finding patterns, the standard of patterns was defined, the mining algorithm of abnormal behaviors was put forward, and the implementation procedure was described in detail. Lastly, the abnormal behaviors were found on the basis of pattern analysis. The faults in the program were localized by using complete information about the program behaviors. This method has been utilized in the research on fault localization. Good results have been achieved with this method.
机译:提出了一种基于模式的异常行为发现框架,包括准备数据,提取模式和发现异常行为。然后,在发现模式的过程中引入了数据预处理,定义了模式的标准,提出了异常行为的挖掘算法,并详细描述了实现过程。最后,在模式分析的基础上发现异常行为。通过使用有关程序行为的完整信息来定位程序中的错误。该方法已用于故障定位研究中。用这种方法已经取得了良好的结果。

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