首页> 外国专利> MACHINE-LEARNING AND DEEP-LEARNING TECHNIQUES FOR PREDICTIVE TICKETING IN INFORMATION TECHNOLOGY SYSTEMS

MACHINE-LEARNING AND DEEP-LEARNING TECHNIQUES FOR PREDICTIVE TICKETING IN INFORMATION TECHNOLOGY SYSTEMS

机译:信息技术系统中的预测性机器学习和深度学习技术

摘要

A system and method for predictive ticketing in information technology (IT) systems. The method includes extracting a plurality of features from monitoring data related to an IT system, wherein the plurality of features includes at least one incident parameter, wherein the monitoring data includes machine-generated textual data; applying a machine learning model to the extracted plurality of features, wherein the machine learning model is configured to output a suitable insight for an incident represented by the at least one incident parameter, wherein the suitable insight is selected from among a plurality of historical insights; and generating a predictive ticket based on the suitable insight, wherein the predictive ticket includes a textual description of an expected future symptom in the IT system.
机译:一种用于信息技术(IT)系统中的预测票务的系统和方法。该方法包括从与IT系统有关的监视数据中提取多个特征,其中,所述多个特征包括至少一个入射参数,其中,所述监视数据包括机器生成的文本数据;以及将机器学习模型应用于所提取的多个特征,其中,机器学习模型被配置为针对由至少一个事件参数表示的事件输出合适的见解,其中,从多个历史见解中选择合适的见解;并基于适当的见解生成预测票证,其中所述预测票证包括所述IT系统中预期的未来症状的文本描述。

著录项

  • 公开/公告号US2019132191A1

    专利类型

  • 公开/公告日2019-05-02

    原文格式PDF

  • 申请/专利权人 LOOM SYSTEMS LTD.;

    申请/专利号US201816231645

  • 发明设计人 DROR MANN;YARON LEHMANN;GABBY MENAHEM;

    申请日2018-12-24

  • 分类号H04L12/24;G06F16/31;G06N5/02;G06F16/35;G06N20;

  • 国家 US

  • 入库时间 2022-08-21 12:05:39

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