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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
Inventor： Nirjar Gandhi , Anviti Srivastava , Sudhir Verma , Martin Adam , Vitezslav Visek
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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Patent Agency Ranking
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
Inventor： Nirjar Gandhi , Anviti Srivastava , Sudhir Verma , Martin Adam , Vitezslav Visek
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.
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公开(公告)号：US11907171B2
公开(公告)日：2024-02-20
申请号：US17514362
申请日：2021-10-29
Applicant: SAP SE
Inventor： Anviti Srivastava , Nirjar Gandhi , Akash Gupta , Sudhir Verma , Divyanshu Bajpai
CPC classification number: G06F16/1805
Abstract: Techniques for implementing a dynamic intelligent log analysis tool are disclosed. In some embodiments, a computer system performs operations comprising: obtaining a log file comprising a plurality of log entries, each log entry comprising an error message; identifying a set of unique words from the error messages; for each error message, computing a term-frequency vector based on a frequency of occurrence for each unique word of the set of unique words in the error message; for each error message, computing a similarity measure between the term-frequency vectors of the error message and every other error message of the log entries; for each error message, computing a score based on a sum of the similarity measures; and displaying an indication of one or more of the error messages on a computing device based on the scores for the one or more of the error messages.
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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
Inventor： Nirjar Gandhi , Anviti Srivastava , Sudhir Verma , Martin Adam , Vitezslav Visek
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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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
Inventor： Nirjar Gandhi , Anviti Srivastava , Sudhir Verma , Martin Adam , Vitezslav Visek
IPC: G06F11/07
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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公开(公告)号：US20230135368A1
公开(公告)日：2023-05-04
申请号：US17514362
申请日：2021-10-29
Applicant: SAP SE
Inventor： Anviti Srivastava , Nirjar Gandhi , Akash Gupta , Sudhir Verma , Divyanshu Bajpai
IPC: G06F16/18
Abstract: Techniques for implementing a dynamic intelligent log analysis tool are disclosed. In some embodiments, a computer system performs operations comprising: obtaining a log file comprising a plurality of log entries, each log entry comprising an error message; identifying a set of unique words from the error messages; for each error message, computing a term-frequency vector based on a frequency of occurrence for each unique word of the set of unique words in the error message; for each error message, computing a similarity measure between the term-frequency vectors of the error message and every other error message of the log entries; for each error message, computing a score based on a sum of the similarity measures; and displaying an indication of one or more of the error messages on a computing device based on the scores for the one or more of the error messages.
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