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公开(公告)号：US20190073257A1
公开(公告)日：2019-03-07
申请号：US15823259
申请日：2017-11-27
Applicant: Infosys Limited
Inventor： Sudipto Shankar Dasgupta , Mayoor Rao , Ganapathy Subramanian
Abstract: A method and system can implement error and event log correlation in an apparatus and include extracting one or more log information associated with a storage location and creating a flexible structure of the one or more log information. The one or more log information is translated to a database store based on a user input. A match level is determined between an event and error data through the one or more log information extracted. When the match level exceeds a predetermined value, a relationship between the event and error data is created through an algorithm and a shareable entry is created for the relationship in a format usable by another apparatus.
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公开(公告)号：US20180075357A1
公开(公告)日：2018-03-15
申请号：US15473285
申请日：2017-03-29
Applicant: Infosys Limited
Inventor： Ganapathy Subramanian , Sudipto Shankar Dasgupta , Kiran Kumar Kaipa , Prasanna Nagesh Teli
CPC classification number: G06N20/00
Abstract: A method and/or system for heterogeneous predictive models generation based on sampling of big data is disclosed. The method involves receiving a dataset and a target column associated with the dataset at a data processing engine from a distributed data warehouse. One or more columns associated with the dataset are classified at the data processing engine as a categorical column or a continuous column. One or more parameters in the dataset are identified to extract a sample data from the dataset. The sample data from the dataset is extracted based on the identified one or more parameters. One or more rank ordered machine learning algorithms are recommended to one or more users, to generate one or more predictive models from the sample data. One or more heterogeneous predictive models are generated based on the rank ordered algorithm through one or more iterations.
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公开(公告)号：US11568142B2
公开(公告)日：2023-01-31
申请号：US16371076
申请日：2019-03-31
Applicant: Infosys Limited
Inventor： Sudipto Shankar Dasgupta , Mayoor Rao , Ganapathy Subramanian , Sairam Yeturi
IPC: G06F17/00 , G06F40/284 , G06F40/216
Abstract: A system and method of creating an entity relationship map includes receiving a stream of lexical matter associated with one or more categories (302) and identifying one or more tokens from the received lexical matter based on the one or more categories (304). A frequency of one or more of unique lexical token and recurring lexical token are determined (306) and one or more outliers based on a standard deviation range associated with the at least one category is eliminated (308). Sentences with the one or more recurring lexical tokens are selected (310) to find one or more lexical neighbors and the entity relationship map is created based on an association between the unique lexical tokens and the at least one lexical neighbor (312).
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公开(公告)号：US11010223B2
公开(公告)日：2021-05-18
申请号：US15823259
申请日：2017-11-27
Applicant: Infosys Limited
Inventor： Sudipto Shankar Dasgupta , Mayoor Rao , Ganapathy Subramanian
Abstract: A method and system can implement error and event log correlation in an apparatus and include extracting one or more log information associated with a storage location and creating a flexible structure of the one or more log information. The one or more log information is translated to a database store based on a user input. A match level is determined between an event and error data through the one or more log information extracted. When the match level exceeds a predetermined value, a relationship between the event and error data is created through an algorithm and a shareable entry is created for the relationship in a format usable by another apparatus.
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