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公开(公告)号：US20210081170A1
公开(公告)日：2021-03-18
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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公开(公告)号：US20190102718A1
公开(公告)日：2019-04-04
申请号：US16145963
申请日：2018-09-28
Applicant: Oracle International Corporation
Inventor： Vikas Agrawal , Ananth Venkata , Naren Chawla , Balaji Krishnan , Renduchintala Sri Venkata Nageswara Sharma
Abstract: Predictive analysis techniques are described herein as applied to business variables. In some embodiments, a dynamic dependency model may be generated using a time-series data from a first time period. The model may define relationships between business variables during the first time period. A prediction of values of a variable (e.g., a business variable such as sales, revenue, attrition, or the like) can be generated based on the dynamic dependency model. The prediction of values may be for a second time period after the first time period. The actual values of the variable over the second time period can be obtained and compared to the predicted values to generate a statistical deviation. The statistical deviation may exceed a threshold and, a notification of the statistical deviation may be transmitted to a user device. The notification may alert the user that the variable is likely to miss the targeted/predicted value.
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公开(公告)号：US20170039281A1
公开(公告)日：2017-02-09
申请号：US15297037
申请日：2016-10-18
Applicant: Oracle International Corporation
Inventor： Ananth Venkata , Satish Gopalakrishna , Jacques Vigeant
IPC: G06F17/30
CPC classification number: G06F16/248 , G06F16/24534
Abstract: Techniques are disclosed for querying, retrieval, and presentation of data. A data analytic system can enable a user to provide input, through a device to query data. The data analytic system can identify the semantic meaning of the input and perform a query based on the semantic meaning. The data analytic system can crawl multiple different sources to determine a logical mapping of data for the index. The index may include one or more subject areas, terms defining those subject areas, and attributes for those terms. The index may enable the data analytic system to perform techniques for matching terms in the query to determine a semantic meaning of the query. The data analytic system can determine a visual representation best suited for displaying results of a query determined by semantic analysis of an input string by a user.
Abstract translation: 公开了用于查询，检索和呈现数据的技术。 数据分析系统可以使用户能够通过设备提供输入以查询数据。 数据分析系统可以识别输入的语义，并根据语义进行查询。 数据分析系统可以爬取多个不同的源来确定索引的数据的逻辑映射。 索引可以包括一个或多个主题领域，定义这些主题领域的术语以及这些术语的属性。 索引可以使得数据分析系统能够执行用于匹配查询中的术语的技术，以确定查询的语义含义。 数据分析系统可以确定最适合于显示由用户通过输入字符串的语义分析确定的查询的结果的视觉表示。
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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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公开(公告)号：US20230252037A1
公开(公告)日：2023-08-10
申请号：US18137306
申请日：2023-04-20
Applicant: ORACLE INTERNATIONAL CORPORATION
Inventor： Dirk Reinshagen , Jagdish Chand , Ananth Venkata , Renu Chintalapati
IPC: G06F16/2458 , G06F16/22 , G06F16/21 , G06F16/28
CPC classification number: G06F16/2465 , G06F16/2282 , G06F16/211 , G06F16/283
Abstract: In accordance with an embodiment, an analytic applications environment enables data analytics within the context of an organization's enterprise software application or data environment, or a software-as-a-service or other type of cloud environment; and supports the development of computer-executable software analytic applications. A data pipeline or process, such as, for example, an extract, transform, load process, can operate in accordance with an analytic applications schema adapted to address particular analytics use cases or best practices, to receive data from a customer's (tenant's) enterprise software application or data environment, for loading into a data warehouse instance. Each customer (tenant) can additionally be associated with a customer tenancy and a customer schema. The data pipeline or process populates their data warehouse instance and database tables with data as received from their enterprise software application or data environment, as defined by a combination of the analytic applications schema, and their customer schema.
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Patent Agency Ranking
公开(公告)号：US11609904B2
公开(公告)日：2023-03-21
申请号：US17376890
申请日：2021-07-15
Applicant: ORACLE INTERNATIONAL CORPORATION
Inventor： Pavan Ananthamurthy , Joseph Kuttikat , Ananth Venkata , Balaji Krishnan
IPC: G06F16/242 , G06F16/25 , G06F16/28
Abstract: In accordance with an embodiment, described herein is a system and method for providing extensibility in an analytic applications environment, including a semantic layer that enables the use of custom semantic extensions to extend a semantic data model (semantic model). In accordance with an embodiment, customizations to the out-of-the-box semantic model are performed using a layered approach, wherein the factory code for the semantic model remains intact, with changes/delta editable by the customer layered on top of that model, such that the changes can be patched/reversed if necessary.
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27.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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公开(公告)号：US20200349155A1
公开(公告)日：2020-11-05
申请号：US16862394
申请日：2020-04-29
Applicant: ORACLE INTERNATIONAL CORPORATION
Inventor： Dirk Reinshagen , Jagdish Chand , Ananth Venkata , Renu Chintalapati
IPC: G06F16/2458 , G06F16/28 , G06F16/21 , G06F16/22
Abstract: In accordance with an embodiment, an analytic applications environment enables data analytics within the context of an organization's enterprise software application or data environment, or a software-as-a-service or other type of cloud environment; and supports the development of computer-executable software analytic applications. A data pipeline or process, such as, for example, an extract, transform, load process, can operate in accordance with an analytic applications schema adapted to address particular analytics use cases or best practices, to receive data from a customer's (tenant's) enterprise software application or data environment, for loading into a data warehouse instance. Each customer (tenant) can additionally be associated with a customer tenancy and a customer schema. The data pipeline or process populates their data warehouse instance and database tables with data as received from their enterprise software application or data environment, as defined by a combination of the analytic applications schema, and their customer schema.
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公开(公告)号：US20190340174A1
公开(公告)日：2019-11-07
申请号：US16513459
申请日：2019-07-16
Applicant: Oracle International Corporation
Inventor： Ananth Venkata , Satish Gopalakrishna , Jacques Vigeant
IPC: G06F16/248 , G06F16/2453
Abstract: Techniques are disclosed for querying, retrieval, and presentation of data. A data analytic system can enable a user to provide input, through a device to query data. The data analytic system can identify the semantic meaning of the input and perform a query based on the semantic meaning. The data analytic system can crawl multiple different sources to determine a logical mapping of data for the index. The index may include one or more subject areas, terms defining those subject areas, and attributes for those terms. The index may enable the data analytic system to perform techniques for matching terms in the query to determine a semantic meaning of the query. The data analytic system can determine a visual representation best suited for displaying results of a query determined by semantic analysis of an input string by a user.
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公开(公告)号：US10417247B2
公开(公告)日：2019-09-17
申请号：US15297037
申请日：2016-10-18
Applicant: Oracle International Corporation
Inventor： Ananth Venkata , Satish Gopalakrishna , Jacques Vigeant
IPC: G06F7/00 , G06F17/30 , G06F16/248 , G06F16/2453
Abstract: Techniques are disclosed for querying, retrieval, and presentation of data. A data analytic system can enable a user to provide input, through a device to query data. The data analytic system can identify the semantic meaning of the input and perform a query based on the semantic meaning. The data analytic system can crawl multiple different sources to determine a logical mapping of data for the index. The index may include one or more subject areas, terms defining those subject areas, and attributes for those terms. The index may enable the data analytic system to perform techniques for matching terms in the query to determine a semantic meaning of the query. The data analytic system can determine a visual representation best suited for displaying results of a query determined by semantic analysis of an input string by a user.
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