Patents by Inventor Alextair Mascarenhas
Alextair Mascarenhas has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11715038Abstract: In accordance with various embodiments, described herein are systems and methods for use of computer-implemented machine learning to automatically determine insights of facts, segments, outliers, or other information associated with a set of data, for use in generating visualizations of the data. In accordance with an embodiment, the system can receive a data set that includes data points having data values and attributes, and a target attribute, and use a machine learning process to automatically determine one or more other attributes as driving factors for the target attribute, based on, for example, the use of a decision tree and a comparison of information gain, Gini, or other indices associated with attributes in the data set. Information describing facts associated with the data set can be graphically displayed at a user interface, as visualizations, and used as a starting point for further analysis of the data set.Type: GrantFiled: May 26, 2021Date of Patent: August 1, 2023Assignee: ORACLE INTERNATIONAL CORPORATIONInventors: Victor Belyaev, Gabby Rubin, Ashish Mittal, Alextair Mascarenhas, Samar Lotia, Alvin Raj, John Fuller, Saugata Chowdhury
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Patent number: 11694118Abstract: In accordance with various embodiments, described herein are systems and methods for use of computer-implemented machine learning to automatically determine insights of facts, segments, outliers, or other information associated with a set of data, for use in generating visualizations of the data. In accordance with an embodiment, the system can use a machine learning process to automatically determine one or more outliers or findings within the data, based on, for example, determining a plurality of combinations representing pairs of attribute dimensions within a data set, from which a general explanation or pattern can be determined for one or more attributes, and then comparing particular values for attributes, with the determined pattern for those attributes. Information describing such outliers or findings can be graphically displayed at a user interface, as text, graphs, charts, or other types of visualizations, and used as a starting point for further analysis of the data set.Type: GrantFiled: November 9, 2020Date of Patent: July 4, 2023Assignee: ORACLE INTERNATIONAL CORPORATIONInventors: Ashish Mittal, Victor Belyaev, Steve Simon Joseph Fernandez, Gabby Rubin, Alextair Mascarenhas, Samar Lotia, Alvin Raj, John Fuller, Saugata Chowdhury
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Publication number: 20230081067Abstract: In accordance with an embodiment, described herein is a system and method for providing query acceleration with a computing environment such as, for example, a business intelligence environment, database, data warehouse, or other type of environment that supports data analytics. A middle layer is provided as a long-term table data storage format; and one more acceleration formats, or acceleration tables, can be periodically regenerated from the middle layer, wherein a determination can be made as to whether an accelerated table exists for a dataset table, and if so, then the accelerated table is used to process the query.Type: ApplicationFiled: August 25, 2022Publication date: March 16, 2023Inventors: ASHISH MITTAL, KENNETH ENG, ALEXTAIR MASCARENHAS, DAVID WONG, PRAFUL HEBBAR, YI GE, MAHADEVAN RAJAGOPALAN, ROGER BOLSIUS, VIJAYAKUMAR RANGANATHAN, SAMAR LOTIA
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Publication number: 20210287139Abstract: In accordance with various embodiments, described herein are systems and methods for use of computer-implemented machine learning to automatically determine insights of facts, segments, outliers, or other information associated with a set of data, for use in generating visualizations of the data. In accordance with an embodiment, the system can receive a data set that includes data points having data values and attributes, and a target attribute, and use a machine learning process to automatically determine one or more other attributes as driving factors for the target attribute, based on, for example, the use of a decision tree and a comparison of information gain, Gini, or other indices associated with attributes in the data set. Information describing facts associated with the data set can be graphically displayed at a user interface, as visualizations, and used as a starting point for further analysis of the data set.Type: ApplicationFiled: May 26, 2021Publication date: September 16, 2021Inventors: Victor Belyaev, Gabby Rubin, Ashish Mittal, Alextair Mascarenhas, Samar Lotia, Alvin Raj, John Fuller, Saugata Chowdhury
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Patent number: 11023826Abstract: In accordance with various embodiments, described herein are systems and methods for use of computer-implemented machine learning to automatically determine insights of facts, segments, outliers, or other information associated with a set of data, for use in generating visualizations of the data. In accordance with an embodiment, the system can receive a data set that includes data points having data values and attributes, and a target attribute, and use a machine learning process to automatically determine one or more other attributes as driving factors for the target attribute, based on, for example, the use of a decision tree and a comparison of information gain, Gini, or other indices associated with attributes in the data set. Information describing facts associated with the data set can be graphically displayed at a user interface, as visualizations, and used as a starting point for further analysis of the data set.Type: GrantFiled: October 1, 2018Date of Patent: June 1, 2021Assignee: ORACLE INTERNATIONAL CORPORATIONInventors: Victor Belyaev, Gabby Rubin, Ashish Mittal, Alextair Mascarenhas, Samar Lotia, Alvin Raj, John Fuller, Saugata Chowdhury
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Publication number: 20210073682Abstract: In accordance with various embodiments, described herein are systems and methods for use of computer-implemented machine learning to automatically determine insights of facts, segments, outliers, or other information associated with a set of data, for use in generating visualizations of the data. In accordance with an embodiment, the system can use a machine learning process to automatically determine one or more outliers or findings within the data, based on, for example, determining a plurality of combinations representing pairs of attribute dimensions within a data set, from which a general explanation or pattern can be determined for one or more attributes, and then comparing particular values for attributes, with the determined pattern for those attributes. Information describing such outliers or findings can be graphically displayed at a user interface, as text, graphs, charts, or other types of visualizations, and used as a starting point for further analysis of the data set.Type: ApplicationFiled: November 9, 2020Publication date: March 11, 2021Inventors: Ashish Mittal, Victor Belyaev, Steve Simon Joseph Fernandez, Gabby Rubin, Alextair Mascarenhas, Samar Lotia, Alvin Raj, John Fuller, Saugata Chowdhury
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Publication number: 20210004383Abstract: A business intelligence (BI) server maintains a plurality of metadata objects to support the extract, transform and load (ETL) processes. These metadata objects includes a transparent view object, which takes a joined set of source tables and represents a data shape of the joined set of source tables using a transformation, and a ETL mapping association object that maps the transformation contained in the transparent view object to a target table. The BI server can then orchestrate the movement of data from source systems into the target data warehouses in a source and target system agnostic way.Type: ApplicationFiled: September 23, 2020Publication date: January 7, 2021Inventors: RAGHURAM VENKATASUBRAMANIAN, ROGER BOLSIUS, HARVARD PAN, ALEXTAIR MASCARENHAS, SAUGATA CHOWDHURY, VENUGOPAL SURENDRAN, ANANTH VENKATA, JACQUES VIGEANT
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Patent number: 10832171Abstract: In accordance with various embodiments, described herein are systems and methods for use of computer-implemented machine learning to automatically determine insights of facts, segments, outliers, or other information associated with a set of data, for use in generating visualizations of the data. In accordance with an embodiment, the system can use a machine learning process to automatically determine one or more outliers or findings within the data, based on, for example, determining a plurality of combinations representing pairs of attribute dimensions within a data set, from which a general explanation or pattern can be determined for one or more attributes, and then comparing particular values for attributes, with the determined pattern for those attributes. Information describing such outliers or findings can be graphically displayed at a user interface, as text, graphs, charts, or other types of visualizations, and used as a starting point for further analysis of the data set.Type: GrantFiled: October 1, 2018Date of Patent: November 10, 2020Assignee: ORACLE INTERNATIONAL CORPORATIONInventors: Ashish Mittal, Victor Belyaev, Steve Simon Joseph Fernandez, Gabby Rubin, Alextair Mascarenhas, Samar Lotia, Alvin Raj, John Fuller, Saugata Chowdhury
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Patent number: 10437846Abstract: An administration tool can be used to provide data flexibility in a business intelligence (BI) server that is associated with a data warehouse. The administration tool can display one or more data objects that are adapted to be imported from an application framework into a physical model maintained on the BI server. The administration tool can further map the one or more data objects in the physical model into a logical model, also maintained on the BI server, which corresponds to at least one target table in the data warehouse. Additionally, the administration tool can publish an extension input to an extender associated with the data warehouse based on the logical model, wherein the extender operates to generate one or more metadata extensions based on the extension input.Type: GrantFiled: May 3, 2011Date of Patent: October 8, 2019Assignee: ORACLE INTERNATIONAL CORPORATIONInventors: Raghuram Venkatasubramanian, Roger Bolsius, Harvard Pan, Alextair Mascarenhas, Saugata Chowdhury, Venugopal Surendran, Ananth Venkata, Jacques Vigeant
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Publication number: 20190102702Abstract: In accordance with various embodiments, described herein are systems and methods for use of computer-implemented machine learning to automatically determine insights of facts, segments, outliers, or other information associated with a set of data, for use in generating visualizations of the data. In accordance with an embodiment, the system can receive a data set that includes data points having data values and attributes, and a target attribute, and use a machine learning process to automatically determine one or more other attributes as driving factors for the target attribute, based on, for example, the use of a decision tree and a comparison of information gain, Gini, or other indices associated with attributes in the data set. Information describing facts associated with the data set can be graphically displayed at a user interface, as visualizations, and used as a starting point for further analysis of the data set.Type: ApplicationFiled: October 1, 2018Publication date: April 4, 2019Inventors: Victor Belyaev, Gabby Rubin, Ashish Mittal, Alextair Mascarenhas, Samar Lotia, Alvin Raj, John Fuller, Saugata Chowdhury
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Publication number: 20190102921Abstract: In accordance with various embodiments, described herein are systems and methods for use of computer-implemented machine learning to automatically determine insights of facts, segments, outliers, or other information associated with a set of data, for use in generating visualizations of the data. In accordance with an embodiment, the system can use a machine learning process to automatically determine one or more outliers or findings within the data, based on, for example, determining a plurality of combinations representing pairs of attribute dimensions within a data set, from which a general explanation or pattern can be determined for one or more attributes, and then comparing particular values for attributes, with the determined pattern for those attributes. Information describing such outliers or findings can be graphically displayed at a user interface, as text, graphs, charts, or other types of visualizations, and used as a starting point for further analysis of the data set.Type: ApplicationFiled: October 1, 2018Publication date: April 4, 2019Inventors: Ashish Mittal, Victor Belyaev, Steve Simon Joseph Fernandez, Gabby Rubin, Alextair Mascarenhas, Samar Lotia, Alvin Raj, John Fuller, Saugata Chowdhury
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Patent number: 9535965Abstract: An input extension specification can be generated, via an administration tool on a business intelligence (BI) server, for an extender associated with a data warehouse in order to extend the data warehouse. The administration tool can request for data flow information of the data warehouse from the extender. The data flow information indicates the mapping relationship between one or more source data objects and one or more target tables in the data warehouse. The administration tool further allows a user to select said one or more target tables in the data warehouse to be extended based on the data flow information, and builds the input extension specification for the extender.Type: GrantFiled: May 3, 2011Date of Patent: January 3, 2017Assignee: ORACLE INTERNATIONAL CORPORATIONInventors: Raghuram Venkatasubramanian, Roger Bolsius, Harvard Pan, Alextair Mascarenhas, Saugata Chowdhury, Venugopal Surendran, Ananth Venkata, Jacques Vigeant
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Patent number: 9218408Abstract: Systems and methods are described for automating the creation of data marts within an enterprise. Data is maintained in a plurality of data sources that include at least a relational database and a multidimensional database. The system includes a business intelligence server that provides a virtual logical semantic model to integrate all of the plurality of data sources. The user specifies a list of levels and measures on the virtual logical semantic model. The list of levels and measures can span data from multiple data sources. The user can also specify a location in the plurality of data sources that will store the aggregate matrix. Once the list of levels and measures are specified, the business intelligence server generates a multidimensional cube to store the data for the aggregate matrix and stores the multidimensional cube in the data source location.Type: GrantFiled: May 3, 2011Date of Patent: December 22, 2015Assignee: ORACLE INTERNATIONAL CORPORATIONInventors: Alextair Mascarenhas, Harvard Pan, Arun Santhanam, Raghuram Venkatasubramanian
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Patent number: 8868588Abstract: Systems and methods are described for performing a SQL bypass in a business intelligence (BI) server environment. The BI server initially receives a SQL query and constructs an extensible markup language (XML) representation of the SQL query. The XML representation is sent to an application server that hosts an application developer framework (ADF). The ADF receives the XML representation of the SQL query and constructs a composite view object at runtime, to access the appropriate data. It then generates a database-specific query based on the composite view object and returns it to the BI server. The BI server replans the database-specific query and sends it to a database storing the data.Type: GrantFiled: May 3, 2011Date of Patent: October 21, 2014Assignee: Oracle International CorporationInventors: Alextair Mascarenhas, Harvard Pan, Kenneth Eng, Raghuram Venkatasubramanian, Roger Bolsius
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Patent number: 8433673Abstract: An extender associated with a data warehouse can support metadata extension for the data warehouse. The extender can create an ETL extension plan for extending the data warehouse. The ETL extension plan includes one or more ETL plan elements that indicate extensions on ETL metadata objects. The one or more ETL plan elements within the ETL extension plan can be ordered, and ETL metadata extension can be performed based on the ETL extension plan.Type: GrantFiled: May 3, 2011Date of Patent: April 30, 2013Assignee: Oracle International CorporationInventors: Raghuram Venkatasubramanian, Roger Bolsius, Harvard Pan, Alextair Mascarenhas, Saugata Chowdhury, Venugopal Surendran, Ananth Venkata, Jacques Vigeant
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Publication number: 20110295793Abstract: An administration tool can be used to provide data flexibility in a business intelligence (BI) server that is associated with a data warehouse. The administration tool can display one or more data objects that are adapted to be imported from an application framework into a physical model maintained on the BI server. The administration tool can further map the one or more data objects in the physical model into a logical model, also maintained on the BI server, which corresponds to at least one target table in the data warehouse. Additionally, the administration tool can publish an extension input to an extender associated with the data warehouse based on the logical model, wherein the extender operates to generate one or more metadata extensions based on the extension input.Type: ApplicationFiled: May 3, 2011Publication date: December 1, 2011Applicant: ORACLE INTERNATIONAL CORPORATIONInventors: Raghuram Venkatasubramanian, Roger Bolsius, Harvard Pan, Alextair Mascarenhas, Saugata Chowdhury, Venugopal Surendran, Ananth Venkata, Jacques Vigeant
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Publication number: 20110295791Abstract: An input extension specification can be generated, via an administration tool on a business intelligence (BI) server, for an extender associated with a data warehouse in order to extend the data warehouse. The administration tool can request for data flow information of the data warehouse from the extender. The data flow information indicates the mapping relationship between one or more source data objects and one or more target tables in the data warehouse. The administration tool further allows a user to select said one or more target tables in the data warehouse to be extended based on the data flow information, and builds the input extension specification for the extender.Type: ApplicationFiled: May 3, 2011Publication date: December 1, 2011Applicant: ORACLE INTERNATIONAL CORPORATIONInventors: Raghuram Venkatasubramanian, Roger Bolsius, Harvard Pan, Alextair Mascarenhas, Saugata Chowdhury, Venugopal Surendran, Ananth Venkata, Jacques Vigeant
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Publication number: 20110295792Abstract: Systems and methods are described for automating the creation of data marts within an enterprise. Data is maintained in a plurality of data sources that include at least a relational database and a multidimensional database. The system includes a business intelligence server that provides a virtual logical semantic model to integrate all of the plurality of data sources. The user specifies a list of levels and measures on the virtual logical semantic model. The list of levels and measures can span data from multiple data sources. The user can also specify a location in the plurality of data sources that will store the aggregate matrix. Once the list of levels and measures are specified, the business intelligence server generates a multidimensional cube to store the data for the aggregate matrix and stores the multidimensional cube in the data source location.Type: ApplicationFiled: May 3, 2011Publication date: December 1, 2011Applicant: ORACLE INTERNATIONAL CORPORATIONInventors: Alextair Mascarenhas, Harvard Pan, Arun Santhanam, Raghuram Venkatasubramanian
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Publication number: 20110295795Abstract: A business intelligence (BI) server maintains a plurality of metadata objects to support the extract, transform and load (ETL) processes. These metadata objects includes a transparent view object, which takes a joined set of source tables and represents a data shape of the joined set of source tables using a transformation, and a ETL mapping association object that maps the transformation contained in the transparent view object to a target table. The BI server can then orchestrate the movement of data from source systems into the target data warehouses in a source and target system agnostic way.Type: ApplicationFiled: May 3, 2011Publication date: December 1, 2011Applicant: ORACLE INTERNATIONAL CORPORATIONInventors: Raghuram Venkatasubramanian, Roger Bolsius, Harvard Pan, Alextair Mascarenhas, Saugata Chowdhury, Venugopal Surendran, Ananth Venkata, Jacques Vigeant
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Publication number: 20110295882Abstract: Systems and methods are described for performing a SQL bypass in a business intelligence (BI) server environment. The BI server initially receives a SQL query and constructs an extensible markup language (XML) representation of the SQL query. The XML representation is sent to an application server that hosts an application developer framework (ADF). The ADF receives the XML representation of the SQL query and constructs a composite view object at runtime, to access the appropriate data. It then generates a database-specific query based on the composite view object and returns it to the BI server. The BI server replans the database-specific query and sends it to a database storing the data.Type: ApplicationFiled: May 3, 2011Publication date: December 1, 2011Applicant: ORACLE INTERNATIONAL CORPORATIONInventors: Alextair Mascarenhas, Harvard Pan, Kenneth Eng, Raghuram Venkatasubramanian, Roger Bolsius