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专利名称：FREQUENT PATTERN BASED ANOMALY
EVENT DETECTION
发明人：Zhuxuan Jin,George Apostolopoulos申请号：US17332804申请日：20210527
公开号：US20210286874A1公开日：20210916
专利附图：
摘要：A method is disclosed that includes receiving, at a computing device, an eventlog including multiple events, where the events are derived from machine data,determining a first score associated with a first granularity level by comparing an event
from the event log with a first frequent patterns generated for the first granularity level,and determining a second score associated with a second granularity level by comparingthe event with a second frequent patterns generated for the second granularity level.The method further includes determining an aggregate score for the event based on thefirst score and the second score, and comparing the aggregate score for the event withan anomaly score threshold. Further, the method includes issuing an alert identifying theevent as an anomaly based on the aggregate score exceeding the anomaly scorethreshold.
申请人：Splunk Inc.
地址：San Francisco CA US
国籍：US
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