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Systems and methods for parsing log files using classification and plurality of neural networks

机译:使用分类和多个神经网络解析日志文件的系统和方法

摘要

The present disclosure relates to systems and methods for parsing unstructured data with neural networks. In one implementation, a system for parsing unstructured data may include at least one processor and at least one non-transitory memory storing instructions that, when executed by the at least one processor, cause the system to: receive unstructured data; apply a classifier to the unstructured data to identify a type of the unstructured data; based on the identification, select a corresponding neural network; apply the selected neural network to the unstructured data to obtain structured data; and output the structured data.
机译:本公开涉及用于利用神经网络解析非结构化数据的系统和方法。在一个实施方式中,一种用于解析非结构化数据的系统可以包括至少一个处理器和至少一个非暂时性存储器,所述非暂时性存储器存储指令,当由所述至少一个处理器执行时,所述指令使所述系统:接收非结构化数据;对非结构化数据应用分类器,以识别非结构化数据的类型;基于该标识,选择相应的神经网络;将所选的神经网络应用于非结构化数据以获得结构化数据;并输出结构化数据。

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