log-anomaly-detector:日志异常检测-机器学习来检测异常事件日志

上传者: 42164931 | 上传时间: 2023-04-19 10:31:53 | 文件大小: 12.02MB | 文件类型: ZIP
日志异常检测器 日志异常检测器是一个名为“ Project Scorpio”的开源项目代码。 LAD也简称为LAD。 它可以连接到流媒体源并生成对异常日志行的预测。 在内部,它使用无监督机器学习。 我们结合了许多机器学习模型来实现这一结果。 另外,它在回路反馈系统中还包括一个人。 项目背景 该项目的最初目标是开发一种自动方法,根据用户应用程序日志中包含的信息,在用户的应用程序出现问题时通知用户。 不幸的是,日志中充满了包含警告甚至是可以忽略的错误的消息,因此简单的“查找关键字”方法是不够的。 另外,日志的数量在不断增加,没有人愿意或无法监视所有日志。 简而言之,我们的最初目标是使用自然语言处理工具进行文本编码,并使用机器学习方法进行自动异常检测,以构建一种工具,该工具可以通过突出显示最日志来帮助开发人员针对失败的应用程序更快地执行根本原因分析如果应用程序开始产生高频率的异常日志,则很可能

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