公开(公告)号：US20180039948A1

公开(公告)日：2018-02-08

申请号：US15785250

申请日：2017-10-16

Applicant: Oracle International Corporation

Inventor： Sharad Thankappan ,  Samar Lotia ,  Saurabh Pandey ,  Irvin Shuster

IPC: G06Q10/10

CPC classification number: G06Q10/1053 ,  G06Q10/10

Abstract: Techniques for providing predictive metrics relating to employment positions are provided. A method may include receiving, by a computing device, data relating to a plurality of employment positions, wherein the data is received from a plurality of customers. The computing device may aggregate the data received from the plurality of customers and may determine statistics using the aggregated data, which are based on each of the plurality of employment positions. The computing device may generate one or more predictive metrics relating to the plurality of employment positions using one or more of the statistics.

公开(公告)号：US20170024421A1

公开(公告)日：2017-01-26

申请号：US14785677

申请日：2015-07-24

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Paul Kim ,  Boris Nikulitsa ,  Samar Lotia ,  Raghuram Venkatasubramanian ,  Vijay Jain

IPC: G06F17/30

CPC classification number: G06F16/212 ,  G06F16/214 ,  G06F16/2228 ,  G06F16/2282 ,  G06F16/245 ,  G06F16/254 ,  G06F16/258

Abstract: A computer implemented algorithm performs introspection of an uploaded denormalized table and identifies candidate fact and dimension tables. The cardinality values of columns in a candidate dimension table are analyzed to identify simple/complex primary key candidates. Unused columns are further analyzed for assignment to candidate fact and/or dimension tables.

Abstract translation: 计算机实现的算法执行对上传的非归一化表的内省，并识别候选事实和维度表。 分析候选维度表中列的基数值，以识别简单/复杂的主键候选。 进一步分析未使用的列以分配给候选事实和/或维度表。

公开(公告)号：US20140074738A1

公开(公告)日：2014-03-13

申请号：US14023310

申请日：2013-09-10

Applicant: Oracle International Corporation

Inventor： Sharad Thankappan ,  Samar Lotia ,  Saurabh Pandey ,  Irvin Shuster

IPC: G06Q10/10

CPC classification number: G06Q10/1053 ,  G06Q10/10

Abstract: Techniques for providing predictive metrics relating to employment positions are provided. A method may include receiving, by a computing device, data relating to a plurality of employment positions, wherein the data is received from a plurality of customers. The computing device may aggregate the data received from the plurality of customers and may determine statistics using the aggregated data, which are based on each of the plurality of employment positions. The computing device may generate one or more predictive metrics relating to the plurality of employment positions using one or more of the statistics.

Abstract translation: 提供了提供与就业职位相关的预测指标的技术。 方法可以包括由计算设备接收与多个就业位置相关的数据，其中从多个客户接收数据。 计算设备可以聚合从多个客户接收的数据，并且可以使用基于多个就业位置中的每一个的聚合数据来确定统计信息。 计算设备可以使用一个或多个统计信息来生成与多个就业位置相关的一个或多个预测度量。

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：US10437793B2

公开(公告)日：2019-10-08

申请号：US14785677

申请日：2015-07-24

Applicant: Oracle International Corporation

Inventor： Paul Kim ,  Boris Nikulitsa ,  Samar Lotia ,  Raghuram Venkatasubramanian ,  Vijay Jain

IPC: G06F17/30 ,  G06F16/21 ,  G06F16/245 ,  G06F16/22 ,  G06F16/25

Abstract: A computer implemented algorithm performs introspection of an uploaded denormalized table and identifies candidate fact and dimension tables. The cardinality values of columns in a candidate dimension table are analyzed to identify simple/complex primary key candidates. Unused columns are further analyzed for assignment to candidate fact and/or dimension tables.

公开(公告)号：US09818086B2

公开(公告)日：2017-11-14

申请号：US14023310

申请日：2013-09-10

Applicant: Oracle International Corporation

Inventor： Sharad Thankappan ,  Samar Lotia ,  Saurabh Pandey ,  Irvin Shuster

IPC: G06Q10/00 ,  G06Q10/10

CPC classification number: G06Q10/1053 ,  G06Q10/10

Abstract: Techniques for providing predictive metrics relating to employment positions are provided. A method may include receiving, by a computing device, data relating to a plurality of employment positions, wherein the data is received from a plurality of customers. The computing device may aggregate the data received from the plurality of customers and may determine statistics using the aggregated data, which are based on each of the plurality of employment positions. The computing device may generate one or more predictive metrics relating to the plurality of employment positions using one or more of the statistics.

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.