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1. 发明申请

US20230135368A1 DYNAMIC INTELLIGENT LOG ANALYSIS TOOL 有权
公开(公告)号：US20230135368A1
公开(公告)日：2023-05-04
申请号：US17514362
申请日：2021-10-29
申请人： SAP SE
发明人： Anviti Srivastava , Nirjar Gandhi , Akash Gupta , Sudhir Verma , Divyanshu Bajpai
IPC分类号： G06F16/18
摘要： 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.

2. 发明授权

US10235100B2 Optimizing column based database table compression 有权
公开(公告)号：US10235100B2
公开(公告)日：2019-03-19
申请号：US15244923
申请日：2016-08-23
申请人： SAP SE
发明人： Sudhir Verma
IPC分类号： G06F3/06 , G06F17/30
摘要： 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.

3. 发明申请

US20230024135A1 INTELLIGENT KEYWORD RECOMMENDER 有权
公开(公告)号：US20230024135A1
公开(公告)日：2023-01-26
申请号：US17380934
申请日：2021-07-20
申请人： SAP SE
发明人： NEHA GARG , Sudhir Verma , Shilpa Viswanadha , Ayushi Singla , Sven Herzberg
IPC分类号： G06F40/289 , G06F16/31 , G06F16/35 , G06K9/62 , G06F9/50
摘要： 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.

4. 发明申请

US20180060374A1 OPTIMIZING COLUMN BASED DATABASE TABLE COMPRESSION 审中-公开
公开(公告)号：US20180060374A1
公开(公告)日：2018-03-01
申请号：US15244923
申请日：2016-08-23
申请人： SAP SE
发明人： Sudhir Verma
IPC分类号： G06F17/30 , G06F3/06
CPC分类号： G06F3/0673 , G06F17/30339
摘要： 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.

5. 发明授权

US10726005B2 Virtual split dictionary for search optimization 有权
公开(公告)号：US10726005B2
公开(公告)日：2020-07-28
申请号：US14314032
申请日：2014-06-25
申请人： SAP SE
发明人： Sudhir Verma , Pravesh Verma , Vidur Sailendra Bhatnagar
IPC分类号： G06F17/00 , G06F16/2453 , G06F16/22
摘要： An attribute vector including value identifiers and corresponding to a dictionary structure is identified. A dictionary type encoding structure is generated by virtually partitioning the dictionary structure. The dictionary type encoding structure may include multiple dictionary types. Based on the dictionary encoding structure, the attribute vector may be split to generate multiple attribute vector blocks that may be identified by block transition indices. Based on the dictionary types in the dictionary encoding structure, the value identifiers in the attribute vector blocks are rearranged. Such a rearrangement optimizes the attribute vector for searching the value identifiers.

6. 发明授权

US10339121B2 Data compression 有权
公开(公告)号：US10339121B2
公开(公告)日：2019-07-02
申请号：US14860678
申请日：2015-09-21
申请人： SAP SE
发明人： Sudhir Verma
IPC分类号： G06F17/30 , G06F16/22 , G06F16/215
摘要： Methods and system are disclosed that compress a dataset and optimize the dataset for searching data. In one aspect, based on attributes associated with a unified dataset, the dataset including sensor node identifier data, sensor node timestamp data and sensor measurement data are determined. A suffix tree algorithm may be executed to determine data compression logic to compress the dataset including the sensor node identifier data and sensor node measurement data. A sensor node timestamp data compression model may be executed to compress the dataset associated with the sensor timestamp data. The compressed datasets including the sensor node identifier data, the sensor node timestamp data and the sensor measurement data may be stored in an in-memory data store.

7. 发明申请

US20220329612A1 SECURING APPLICATIONS THROUGH SIMILARITY-BASED RISK ASSESSMENT 有权
公开(公告)号：US20220329612A1
公开(公告)日：2022-10-13
申请号：US17228118
申请日：2021-04-12
申请人： SAP SE
发明人： Sudhir Verma , Ayushi Singla , Sumit Kumar , Sarma Adithe Venkata Ram , Jani Mahammad
IPC分类号： H04L29/06 , H04L29/08
摘要： Systems, methods, and computer media are described for user risk assessment using similarity analysis. Records of transactions performed by a user while in previous enhanced application access sessions can be evaluated against records of transactions performed by other users in previous sessions. The more similar a user is to other users, the more likely it is the user was acting in a typical manner, and the less likely the user poses a security risk. A similarity analysis can be performed using a bipartite graph linking a group of users and a group of application transactions. By examining an edge between a user and a performed transaction, other edges (and corresponding other users) can be identified that also performed the transaction. A similarity score can be calculated based on the bipartite graph and can be used to determine a risk classification and allow or deny an enhanced application access session request.

8. 发明申请

US20210209159A1 AUTOMATED MASTER DATA CLASSIFICATION AND CURATION USING MACHINE LEARNING 有权
公开(公告)号：US20210209159A1
公开(公告)日：2021-07-08
申请号：US16737338
申请日：2020-01-08
申请人： SAP SE
发明人： Prabal Mahanta , Sudhir Verma
IPC分类号： G06F16/906 , G06N20/00 , G06F16/901 , G06Q10/06
摘要： A business data database may store transaction business information of an enterprise along with existing structures, rules, and classification recommendations. A business rules framework agent platform may execute supervised machine learning and generate industry agnostic relationship scores and classification scores based on data in the business data database. The business rules framework agent platform may then optimize data and table structures, using relation graph-based evaluation, in accordance with taxonomy data and the classification scores. A rules and configuration database may store the optimized data and table structures from the business rules framework agent platform. Further, a business configuration and rules mapper platform may identify business configuration data and business rules classification data based on the optimized data and table structures. In some embodiments, the identified business configuration data and business rules classification data are used to automatically update the existing structures, rules, and classification recommendations in the business data database.

9. 发明授权

US11086864B2 Optimizing search for data 有权
公开(公告)号：US11086864B2
公开(公告)日：2021-08-10
申请号：US15359626
申请日：2016-11-23
申请人： SAP SE
发明人： Yadesh Gupta , Sudhir Verma
IPC分类号： G06F16/00 , G06F16/2453 , G06F16/22
摘要： Methods and system are disclosed that relate to optimizing search for data. In one aspect, an attribute vector may include unique value identifiers and be associated with a dictionary structure. For a unique value identifiers stored in an attribute vector and associated with the dictionary structure, start address and end address associated with the unique value identifiers is computed. Based on the computation, a range of positional addresses associated with the unique value identifiers may be generated and stored in a data structure. Upon receiving a request to search for data, the range of positional addresses in which the unique value identifiers may be searched is determined. Based on the determination, a database search engine optimizes the search for data in the attribute vector.

10. 发明授权

US10706065B2 Optimizing transformation of data 有权
公开(公告)号：US10706065B2
公开(公告)日：2020-07-07
申请号：US15090624
申请日：2016-04-05
申请人： SAP SE
发明人： Yadesh Gupta , Sudhir Verma
IPC分类号： G06F17/30 , G06F16/25 , G06F9/50
摘要： Methods and system are disclosed that generate an execution schedule to optimize a transformation of business. In one aspect, from multiple tables residing in multiple databases and storing business data associate with multiple business management systems, dependencies between the tables may be determined based on attributes associated with the tables. When execution time for transforming business data exists, a decrease time algorithm or a critical path algorithm may be executed to generate execution schedule and to calculate processor idle times during the transformation of business data. Based on the calculated processor idle times, whether or not to execute a local optimization algorithm may be determined. Based on the determination, execution schedule that optimize the transformation of business data may be generated. The transformation of business data may be executed based to the generated execution schedule that optimizes a time consumed for transforming the business data in the tables.

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