公开(公告)号：US11501112B1

公开(公告)日：2022-11-15

申请号：US15967435

申请日：2018-04-30

Applicant: SPLUNK, INC.

Inventor： Adam Oliner ,  Kristal Curtis ,  Nghi Huu Nguyen ,  Alexander Johnson

IPC: G06F16/90 ,  G06K9/62 ,  G06F11/07 ,  G06F17/18 ,  G06N20/00 ,  G06F16/907 ,  G06F16/903 ,  G06F16/28

Abstract: A computerized method of diagnosing a mislabeling of a source type of a received event. The method comprising operations of receiving an event by a source type analysis logic with a data index and query system, wherein the event includes a portion of raw machine data and is associated with a specific point in time, obtaining an original source type assigned to the event and one or more predicted source types. The one or more predicted source types are determined by analysis of a data representation of the event in view of training data and the training data includes a plurality of data representations corresponding to known source types. Additionally, the computerized method also includes an operation of, determining whether the event has been mislabeled and in response to determining the event has been mislabeled, diagnosing a source of the mislabeling.