公开(公告)号：US11715038B2

公开(公告)日：2023-08-01

申请号：US17331284

申请日：2021-05-26

Applicant: Oracle International Corporation

Inventor： Victor Belyaev ,  Gabby Rubin ,  Ashish Mittal ,  Alextair Mascarenhas ,  Samar Lotia ,  Alvin Raj ,  John Fuller ,  Saugata Chowdhury

IPC: G06N20/00 ,  G06F16/248 ,  G06F16/25 ,  G06F16/26 ,  G06F3/0481 ,  G06F3/0486 ,  G06T11/20 ,  G06F16/22

CPC classification number: G06N20/00 ,  G06F3/0481 ,  G06F3/0486 ,  G06F16/2272 ,  G06F16/248 ,  G06F16/252 ,  G06F16/26 ,  G06T11/206 ,  G06T2200/24

Abstract: 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.

公开(公告)号：US20210073682A1

公开(公告)日：2021-03-11

申请号：US17093563

申请日：2020-11-09

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Ashish Mittal ,  Victor Belyaev ,  Steve Simon Joseph Fernandez ,  Gabby Rubin ,  Alextair Mascarenhas ,  Samar Lotia ,  Alvin Raj ,  John Fuller ,  Saugata Chowdhury

IPC: G06N20/00 ,  G06F16/248 ,  G06F16/25 ,  G06F16/26 ,  G06F3/0481 ,  G06F3/0486 ,  G06T11/20 ,  G06F16/22

Abstract: 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.

公开(公告)号：US11694118B2

公开(公告)日：2023-07-04

申请号：US17093563

申请日：2020-11-09

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Ashish Mittal ,  Victor Belyaev ,  Steve Simon Joseph Fernandez ,  Gabby Rubin ,  Alextair Mascarenhas ,  Samar Lotia ,  Alvin Raj ,  John Fuller ,  Saugata Chowdhury

IPC: G06N20/00 ,  G06F16/248 ,  G06F16/25 ,  G06F16/26 ,  G06F3/0481 ,  G06F3/0486 ,  G06T11/20 ,  G06F16/22

CPC classification number: G06N20/00 ,  G06F3/0481 ,  G06F3/0486 ,  G06F16/2272 ,  G06F16/248 ,  G06F16/252 ,  G06F16/26 ,  G06T11/206 ,  G06T2200/24

Abstract: 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.

公开(公告)号：US11023826B2

公开(公告)日：2021-06-01

申请号：US16148671

申请日：2018-10-01

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Victor Belyaev ,  Gabby Rubin ,  Ashish Mittal ,  Alextair Mascarenhas ,  Samar Lotia ,  Alvin Raj ,  John Fuller ,  Saugata Chowdhury

IPC: G06N99/00 ,  G06N20/00 ,  G06F16/248 ,  G06F16/25 ,  G06F16/26 ,  G06F3/0481 ,  G06F3/0486 ,  G06T11/20 ,  G06F16/22

Abstract: 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.

公开(公告)号：US20190102703A1

公开(公告)日：2019-04-04

申请号：US16148675

申请日：2018-10-01

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Victor Belyaev ,  Gabby Rubin ,  Samar Lotia ,  Alvin Raj ,  John Fuller

IPC: G06N99/00 ,  G06F17/30

Abstract: 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 segments within a data set, associated with a target attribute value, based on, for example, the use of a classification and regression tree and a combination of different driving factors, or same driving factors with different values. Information describing segments associated with the data set 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.

公开(公告)号：US11188845B2

公开(公告)日：2021-11-30

申请号：US16148675

申请日：2018-10-01

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Victor Belyaev ,  Gabby Rubin ,  Samar Lotia ,  Alvin Raj ,  John Fuller

IPC: G06N99/00 ,  G06N20/00 ,  G06F16/248 ,  G06F16/25 ,  G06F16/26 ,  G06F3/0481 ,  G06F3/0486 ,  G06T11/20 ,  G06F16/22

Abstract: 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 segments within a data set, associated with a target attribute value, based on, for example, the use of a classification and regression tree and a combination of different driving factors, or same driving factors with different values. Information describing segments associated with the data set 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.

公开(公告)号：US20210287139A1

公开(公告)日：2021-09-16

申请号：US17331284

申请日：2021-05-26

Applicant: Oracle International Corporation

Inventor： Victor Belyaev ,  Gabby Rubin ,  Ashish Mittal ,  Alextair Mascarenhas ,  Samar Lotia ,  Alvin Raj ,  John Fuller ,  Saugata Chowdhury

IPC: G06N20/00 ,  G06F16/248 ,  G06F16/25 ,  G06F16/26 ,  G06F3/0481 ,  G06F3/0486 ,  G06T11/20 ,  G06F16/22

Abstract: 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.

公开(公告)号：US10832171B2

公开(公告)日：2020-11-10

申请号：US16148680

申请日：2018-10-01

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Ashish Mittal ,  Victor Belyaev ,  Steve Simon Joseph Fernandez ,  Gabby Rubin ,  Alextair Mascarenhas ,  Samar Lotia ,  Alvin Raj ,  John Fuller ,  Saugata Chowdhury

IPC: G06N20/00 ,  G06F16/248 ,  G06F16/25 ,  G06F16/26 ,  G06F3/0481 ,  G06F3/0486 ,  G06T11/20 ,  G06F16/22

Abstract: 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.

公开(公告)号：US20190102921A1

公开(公告)日：2019-04-04

申请号：US16148680

申请日：2018-10-01

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Ashish Mittal ,  Victor Belyaev ,  Steve Simon Joseph Fernandez ,  Gabby Rubin ,  Alextair Mascarenhas ,  Samar Lotia ,  Alvin Raj ,  John Fuller ,  Saugata Chowdhury

IPC: G06T11/20 ,  G06N99/00 ,  G06F3/0486

Abstract: 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.

公开(公告)号：US20190102702A1

公开(公告)日：2019-04-04

申请号：US16148671

申请日：2018-10-01

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Victor Belyaev ,  Gabby Rubin ,  Ashish Mittal ,  Alextair Mascarenhas ,  Samar Lotia ,  Alvin Raj ,  John Fuller ,  Saugata Chowdhury

IPC: G06N99/00 ,  G06F17/30

Abstract: 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.