The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 01, 2023

Filed:

May. 26, 2021
Applicant:

Oracle International Corporation, Redwood Shores, CA (US);

Inventors:

Victor Belyaev, San Jose, CA (US);

Gabby Rubin, Sunnyvale, CA (US);

Ashish Mittal, Foster City, CA (US);

Alextair Mascarenhas, Foster City, CA (US);

Samar Lotia, Cupertino, CA (US);

Alvin Raj, Woburn, MA (US);

John Fuller, Chicago, CA (US);

Saugata Chowdhury, Sunnyvale, CA (US);

Assignee:

ORACLE INTERNATIONAL CORPORATION, Redwood Shores, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/248 (2019.01); G06F 16/25 (2019.01); G06F 16/26 (2019.01); G06F 3/0481 (2022.01); G06F 3/0486 (2013.01); G06T 11/20 (2006.01); G06F 16/22 (2019.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 3/0481 (2013.01); G06F 3/0486 (2013.01); G06F 16/2272 (2019.01); G06F 16/248 (2019.01); G06F 16/252 (2019.01); G06F 16/26 (2019.01); G06T 11/206 (2013.01); G06T 2200/24 (2013.01);
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.


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