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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：US20230024135A1
公开(公告)日：2023-01-26
申请号：US17380934
申请日：2021-07-20
Applicant: SAP SE
Inventor： NEHA GARG , Sudhir Verma , Shilpa Viswanadha , Ayushi Singla , Sven Herzberg
IPC: G06F40/289 , G06F16/31 , G06F16/35 , G06K9/62 , G06F9/50
Abstract: A system, a method, and a computer program product for generation of keywords for a solution note for resolving an issue associated with a computing component. A dataset for training a keyword data model is received. The dataset includes a plurality of variables associated with one or more values. The keyword data model is configured for determination, as a function of one or more variables in the plurality of variables, of one or more keywords in a plurality of keywords associated with a computing solution in a plurality of computing solutions for resolving a problem with an operation of a computing component in a plurality of computing components. The keyword data model is trained using the received dataset and the keyword data model is applied to one or more variables in the received dataset to generate one or more keywords. One or more keywords associated with the computing solution is generated.
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公开(公告)号：US20180060374A1
公开(公告)日：2018-03-01
申请号：US15244923
申请日：2016-08-23
Applicant: SAP SE
Inventor： Sudhir Verma
CPC classification number: G06F3/0673 , G06F17/30339
Abstract: Various embodiments of systems and methods for optimizing in-memory column based database table compression. A system may receive a parsed in-memory columnar database table as an input and reads an aggregated compression score from memory corresponding to the parsed database table. A total compression score may be computed iteratively for the database table in order to determine whether the total compression score is greater than the aggregated compression score. When the total compression score determined to be greater than the aggregated compression score, the aggregated compression score is assigned to a best compression score. To optimize in-memory database table compression, the given database table may be compressed using the best compression score.
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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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Patent Agency Ranking
公开(公告)号：US20240386044A1
公开(公告)日：2024-11-21
申请号：US18198378
申请日：2023-05-17
Applicant: SAP SE
Inventor： Rupam Ojha , Ajay Anand Verma , Srinivasan Ramanathan , Priyanka Aggarwal , Mohit Pratap Singh , Rohit Kumar , Sudhir Verma
Abstract: Support for a product may be provided using an interactive chat interface. The interface may provide recommendations for actions the user may take to address the issue. A support assistant tree may be used in providing information to the user via the user interface. The user interface may include options selectable by the user to traverse the support assistant tree. For example, a server may initially record the state of the user as being at the root node of the support assistant tree. Each child node of the root node may be associated with an answer to a question or an option. When the user selects the associated answer or option, the server provides information related to the corresponding node and updates the recorded state of the user to be the corresponding node. The process may be repeated until a leaf node is reached.
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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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公开(公告)号：US10235100B2
公开(公告)日：2019-03-19
申请号：US15244923
申请日：2016-08-23
Applicant: SAP SE
Inventor： Sudhir Verma
Abstract: Various embodiments of systems and methods for optimizing in-memory column based database table compression. A system may receive a parsed in-memory columnar database table as an input and reads an aggregated compression score from memory corresponding to the parsed database table. A total compression score may be computed iteratively for the database table in order to determine whether the total compression score is greater than the aggregated compression score. When the total compression score determined to be greater than the aggregated compression score, the aggregated compression score is assigned to a best compression score. To optimize in-memory database table compression, the given database table may be compressed using the best compression score.
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公开(公告)号：US20250156787A1
公开(公告)日：2025-05-15
申请号：US18509890
申请日：2023-11-15
Applicant: SAP SE
Inventor： HARSHIT GULERIA , Praveen Kumar P , Prasanna Jain , Jaroslav Jaros , Nibedita Dutta , Sudhir Verma
IPC: G06Q10/0635
Abstract: Disclosed herein are system, method, and computer program product embodiments for outputting a migration note. An embodiment operates by receiving a note, wherein the note is a solution for an incident. The embodiment then extracts incident data associated with the received note, wherein the incident data comprises a description of the incident. The embodiment then calculates, based on the description of the incident, a degree of proximity between the extracted incident data and labeled-incident data, wherein the labeled-incident data indicates whether the labeled-incident data is related to a migration incident. The embodiment then determines that the extracted incident data is related to the migration incident based on the calculated degree of proximity. The embodiment then extracts, from a plurality of notes, the migration note associated with the extracted incident data, and outputs the migration note.
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