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公开(公告)号：US20230039981A1
公开(公告)日：2023-02-09
申请号：US17963770
申请日：2022-10-11
Applicant: Oracle International Corporation
Inventor： Vikas Agrawal , Manisha Gupta , Ananth Venkata , Malhar Chaudhari
Abstract: A method of identifying causal relationships between time series may include accessing a hierarchy of nodes in a data structure, where each node in the plurality of nodes may include a time series of data. The method may also include identifying a subset of nodes in the plurality of nodes for which causal relationships may exist in the corresponding time series. The method may additionally include generating a model for each of the subset of nodes, where the model may receive the subset of nodes and generate coefficients indicating how strongly each of the subset of nodes causally affects other nodes in the subset of nodes. The method may further include generating a ranked output of nodes that causally affect a first node in the subset of nodes based on an output of the corresponding model.
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公开(公告)号：US11467803B2
公开(公告)日：2022-10-11
申请号：US17018794
申请日：2020-09-11
Applicant: Oracle International Corporation
Inventor： Vikas Agrawal , Manisha Gupta , Ananth Venkata , Malhar Chaudhari
Abstract: A method of identifying causal relationships between time series may include accessing a hierarchy of nodes in a data structure, where each node in the plurality of nodes may include a time series of data. The method may also include identifying a subset of nodes in the plurality of nodes for which causal relationships may exist in the corresponding time series. The method may additionally include generating a model for each of the subset of nodes, where the model may receive the subset of nodes and generate coefficients indicating how strongly each of the subset of nodes causally affects other nodes in the subset of nodes. The method may further include generating a ranked output of nodes that causally affect a first node in the subset of nodes based on an output of the corresponding model.
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3.发明申请公开(公告)号：US20210365643A1
公开(公告)日：2021-11-25
申请号：US17396569
申请日：2021-08-06
Applicant: Oracle International Corporation
Inventor： Vikas Agrawal , Manisha Gupta , Malhar Chaudhari
IPC: G06F40/56 , G06F16/332 , G06F16/33 , G06F40/35 , G06F40/247
Abstract: A method of generating natural language outputs may include accessing a model of a system, where the system may be represented by a hierarchy of nodes in a data structure, and nodes in the hierarchy of nodes may include time series of data. The method may also include identifying a time series represented by a node in the data structure that will generate a future anomaly; accessing a template corresponding to a type of the time series; populating semantic tags in the template using data from the time series; sending a phrase from the template to a natural language model; receiving a plurality of similar phrases from the natural language model; selecting one of the plurality of similar phrases and replacing the phrase in the template; and causing language from the template to be displayed on a display device.
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公开(公告)号：US20190102742A1
公开(公告)日：2019-04-04
申请号：US16140153
申请日：2018-09-24
Applicant: Oracle International Corporation
Inventor： Vikas Agrawal , Saurav Mohapatra , Anirban Majumdar , Ispati Nautiyal , Manisha Gupta
Abstract: There are significant advantages to employing a diverse workforce within an enterprise. Techniques for identifying gaps in diversity hiring, promotion, and termination within an enterprise are provided herein. The techniques described herein may be used to analyze any large data set for comparison of aggregated data. Employment data may be collected and aggregated based on classifications such as ethnicity, gender, veteran status, disability status, and so forth, and within each classification the data can be aggregated for hiring, termination, promotion, and so forth. Two aggregates can be identified for comparison, and statistical scores may be generated for the first aggregate as compared to the second aggregate. Each of the statistical scores may be weighted and the scores may be combined to generate a single impact score. The impact score can be used to identify gaps in diversity employment practices within the enterprise.
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公开(公告)号：US12039287B2
公开(公告)日：2024-07-16
申请号：US17963770
申请日：2022-10-11
Applicant: Oracle International Corporation
Inventor： Vikas Agrawal , Manisha Gupta , Ananth Venkata , Malhar Chaudhari
Abstract: A method of identifying causal relationships between time series may include accessing a hierarchy of nodes in a data structure, where each node in the plurality of nodes may include a time series of data. The method may also include identifying a subset of nodes in the plurality of nodes for which causal relationships may exist in the corresponding time series. The method may additionally include generating a model for each of the subset of nodes, where the model may receive the subset of nodes and generate coefficients indicating how strongly each of the subset of nodes causally affects other nodes in the subset of nodes. The method may further include generating a ranked output of nodes that causally affect a first node in the subset of nodes based on an output of the corresponding model.
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Patent Agency Ranking
6.发明授权公开(公告)号：US11238409B2
公开(公告)日：2022-02-01
申请号：US16147234
申请日：2018-09-28
Applicant: Oracle International Corporation
Inventor： Manisha Gupta , Ananth Venkata , Vikas Agrawal
Abstract: Gaps in proficiencies may be identified within an enterprise. Understanding gaps in the existing workforce may help inform training, hiring, and firing decisions to ensure successful completion of the upcoming projects and deadlines. Using a multi-level model for each proficiency that accounts for enterprise needs as well as hiring, retraining, and the like, a relationship between proficiencies, projects, and employees over time may be generated as a multi-dimensional temporal model. The temporal model may be simulated to forecast gaps in proficiencies of the employed workforce. Recommendations regarding retraining, hiring, and termination can be made to help users remedy the deficiencies. Additionally, the proficiencies most valuable to the enterprise may be determined using a catalog of proficiencies to cluster the proficiencies into proficiency clusters for each job or job category and the proficiencies scored. Employees and candidates may be scored using the clusters to inform hiring, firing, and retraining decisions.
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7.发明申请公开(公告)号：US20190102741A1
公开(公告)日：2019-04-04
申请号：US16147234
申请日：2018-09-28
Applicant: Oracle International Corporation
Inventor： Manisha Gupta , Ananth Venkata , Vikas Agrawal
Abstract: Gaps in proficiencies may be identified within an enterprise. Understanding gaps in the existing workforce may help inform training, hiring, and firing decisions to ensure successful completion of the upcoming projects and deadlines. Using a multi-level model for each proficiency that accounts for enterprise needs as well as hiring, retraining, and the like, a relationship between proficiencies, projects, and employees over time may be generated as a multi-dimensional temporal model. The temporal model may be simulated to forecast gaps in proficiencies of the employed workforce. Recommendations regarding retraining, hiring, and termination can be made to help users remedy the deficiencies. Additionally, the proficiencies most valuable to the enterprise may be determined using a catalog of proficiencies to cluster the proficiencies into proficiency clusters for each job or job category and the proficiencies scored. Employees and candidates may be scored using the clusters to inform hiring, firing, and retraining decisions.
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公开(公告)号：US12159106B2
公开(公告)日：2024-12-03
申请号：US17408226
申请日：2021-08-20
Applicant: Oracle International Corporation
Inventor： Michael Malak , Manisha Gupta , Nikhil Surve , Chaohui Yu , Luis E. Rivas , Luis Ramirez , Douglas Savolainen
IPC: G06F40/295 , G06F40/20 , G06F40/279 , G06F40/30
Abstract: In accordance with an embodiment, described herein is a system and method for use of text analytics to transform, analyze, and visualize data, including support for data flows of unstructured text or other types of textual data input. Additionally described are various examples of algorithmic processes and user interfaces that can be used to enable text analytics in particular environments or use cases. In accordance with an embodiment, the system can be implemented within a cloud environment that enables self-service text analytics. A user, for example an organizational business user who may not be expert in the use of machine learning as applied to data processing, can interact with the system via a user interface, to apply natural language processing or other text analysis techniques to a data flow or set of input data, to generate visualizations or other types of useful information associated with the data.
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公开(公告)号：US11367034B2
公开(公告)日：2022-06-21
申请号：US16586347
申请日：2019-09-27
Applicant: Oracle International Corporation
Inventor： Renu Chintalapati , Manisha Gupta , Ashlesh Bajpai , David Granholm , Stefan Schmitz , Naren Chawla , Matthew Bedin , Jacques Vigeant , Ananth Venkata , Rajesh Balu , Vikas Agrawal
IPC: G06Q10/06 , G06F9/451 , G06T11/20 , G06F3/0482
Abstract: Described herein are techniques for identifying highly relevant content for a user to view in the form of KPI cards and providing the relevant view to the user automatically or by suggestion. The KPIs of highest practical and statistical significance are provided when the user accesses the user interface. In some embodiments, when the user is viewing a KPI, other relevant KPIs may be provided for the user to view as suggestions. Further, in some embodiments, the user may be provided with the KPIs of significance based on anomaly detection, and the explanation for the anomaly as well as suggestions for remedying any issues may be provided to the user. The highly informational content can be surfaced through the use of the advanced machine learning algorithms described herein.
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公开(公告)号：US20210365611A1
公开(公告)日：2021-11-25
申请号：US17396561
申请日：2021-08-06
Applicant: Oracle International Corporation
Inventor： Vikas Agrawal , Manisha Gupta , Malhar Chaudhari
Abstract: A method of creating and executing action pathways for time series data may include accessing a model of a system, where the system is represented by a hierarchy of nodes in a data structure representing time series of data. The method may also include simplifying the model by removing relationships between the nodes that affect parent nodes less than a threshold amount, and simulating the model to identify a node comprising a time series of data that risks missing a predefined target value. The method may further include generating a pathway of actions for changes to driver nodes that cause the time series of data to move within a threshold distance of the predefined target value in the future, and causing the pathway of actions to be executed.
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