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:
Sep. 15, 2020

Filed:

Aug. 22, 2017
Applicant:

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

Inventors:

Ganesh Seetharaman, Redwood Shores, CA (US);

Alexander Sasha Stojanovic, Los Gatos, CA (US);

Hassan Heidari Namarvar, Mountain View, CA (US);

David Allan, Novato, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 8/41 (2018.01); G06N 20/00 (2019.01); G06F 16/14 (2019.01); G06F 16/21 (2019.01); G06F 16/25 (2019.01); G06F 16/435 (2019.01); G06F 16/23 (2019.01); G06N 5/04 (2006.01); G06Q 10/06 (2012.01); G06F 40/30 (2020.01); G06F 3/0482 (2013.01); G06F 17/18 (2006.01); G06N 5/02 (2006.01); G06F 8/10 (2018.01); G06F 8/34 (2018.01); G06F 3/042 (2006.01); G06F 3/06 (2006.01); G06F 9/50 (2006.01);
U.S. Cl.
CPC ...
G06F 8/433 (2013.01); G06F 3/0428 (2013.01); G06F 3/0482 (2013.01); G06F 3/0649 (2013.01); G06F 8/10 (2013.01); G06F 8/34 (2013.01); G06F 8/4452 (2013.01); G06F 16/144 (2019.01); G06F 16/211 (2019.01); G06F 16/2322 (2019.01); G06F 16/2358 (2019.01); G06F 16/254 (2019.01); G06F 16/435 (2019.01); G06F 17/18 (2013.01); G06F 40/30 (2020.01); G06N 5/022 (2013.01); G06N 5/04 (2013.01); G06N 5/046 (2013.01); G06N 20/00 (2019.01); G06Q 10/0637 (2013.01); G06F 9/5061 (2013.01);
Abstract

In accordance with various embodiments, described herein is a system (Data Artificial Intelligence system, Data AI system), for use with a data integration or other computing environment, that leverages machine learning (ML, DataFlow Machine Learning, DFML), for use in managing a flow of data (dataflow, DF), and building complex dataflow software applications (dataflow applications, pipelines). In accordance with an embodiment, the system provides a programmatic interface, referred to herein in some embodiments as a foreign function interface, by which a user or third-party can define a service, functional and business types, semantic actions, and patterns or predefined complex data flows based on functional and business types, in a declarative manner, to extend the functionality of the system.


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