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Self-learning log classification system

机译:自学习日志分类系统

摘要

A self-learning system for categorizing log entries may be provided. The system may display a first log entry and receive a categorical identifier for the first log entry. The system may parse the first log entry for predetermined text information and predetermined image information. The predetermined text information may be included in a datafield classifier and the predetermined image information included in a metadata classifier. The system may identify the predetermined text information in the log entry and adjust a first prioritization of respective categorical identifiers included in the datafield classifier. The system may identify the predetermined image information in the first log entry and adjust a second prioritization of the respective categorical identifiers included in the metadata classifier. The system may map a second log entry to the categorical identifier based on adjustment of the first prioritization or adjustment of the second prioritization.
机译:可以提供用于对日志条目进行分类的自学习系统。系统可以显示第一日志条目并接收第一日志条目的分类标识符。系统可以解析预定文本信息和预定图像信息的第一日志条目。预定文本信息可以包括在DataField分类器中和包括在元数据分类器中的预定图像信息中。该系统可以识别日志条目中的预定文本信息,并调整在DataField分类器中包括的各个分类标识符的第一优先级。系统可以识别第一日志条目中的预定图像信息,并调整包括在元数据分类器中的各个分类标识符的第二优先级。该系统可以基于对第二优先级的第一优先级调整或调整的调整来将第二日志条目映射到分类标识符。

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