EXTENDED DYNAMIC INTELLIGENT LOG ANALYSIS TOOL

    公开(公告)号:US20240143428A1

    公开(公告)日:2024-05-02

    申请号:US17977704

    申请日:2022-10-31

    Applicant: SAP SE

    CPC classification number: G06F11/0769 G06F11/3476

    Abstract: This disclosure describes implementations for categorizing and displaying a Gantt chart of categorized errors, as well as performing an odd pattern analysis to identify anomalous errors including obtaining a log file that includes a number of log entries where each log entry includes an error message. Converting each error message into an error vector using a predictive model. Determining a category for each error vector using a K-nearest neighbor algorithm, and generating a Gantt chart representing error messages arranged hierarchically by category as a function of time for display at a user interface.

    Extended dynamic intelligent log analysis tool

    公开(公告)号:US12007829B2

    公开(公告)日:2024-06-11

    申请号:US17977683

    申请日:2022-10-31

    Applicant: SAP SE

    CPC classification number: G06F11/0778 G06F11/0709 G06F11/0781

    Abstract: This disclosure describes implementations for categorizing and displaying a Gantt chart of categorized errors, as well as performing an odd pattern analysis to identify anomalous errors including obtaining a log file that includes a number of log entries where each log entry includes an error message. Converting each error message into an error vector using a predictive model. Determining a category for each error vector using a K-nearest neighbor algorithm, and generating a Gantt chart representing error messages arranged hierarchically by category as a function of time for display at a user interface.

    Extended dynamic intelligent log analysis tool

    公开(公告)号:US12189463B2

    公开(公告)日:2025-01-07

    申请号:US17977704

    申请日:2022-10-31

    Applicant: SAP SE

    Abstract: This disclosure describes implementations for categorizing and displaying a Gantt chart of categorized errors, as well as performing an odd pattern analysis to identify anomalous errors including obtaining a log file that includes a number of log entries where each log entry includes an error message. Converting each error message into an error vector using a predictive model. Determining a category for each error vector using a K-nearest neighbor algorithm, and generating a Gantt chart representing error messages arranged hierarchically by category as a function of time for display at a user interface.

    EXTENDED DYNAMIC INTELLIGENT LOG ANALYSIS TOOL

    公开(公告)号:US20240143430A1

    公开(公告)日:2024-05-02

    申请号:US17977683

    申请日:2022-10-31

    Applicant: SAP SE

    CPC classification number: G06F11/0778 G06F11/0709 G06F11/0781

    Abstract: This disclosure describes implementations for categorizing and displaying a Gantt chart of categorized errors, as well as performing an odd pattern analysis to identify anomalous errors including obtaining a log file that includes a number of log entries where each log entry includes an error message. Converting each error message into an error vector using a predictive model. Determining a category for each error vector using a K-nearest neighbor algorithm, and generating a Gantt chart representing error messages arranged hierarchically by category as a function of time for display at a user interface.

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