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:
Nov. 16, 2021

Filed:

Aug. 02, 2016
Applicant:

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

Inventors:

Ari W. Mozes, Lexington, MA (US);

Boriana L. Milenova, Reading, MA (US);

Marcos M. Campos, Carlsbad, CA (US);

Mark A. McCracken, Wakefield, MA (US);

Gayathri P. Ayyappan, Bangalore, IN;

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/2458 (2019.01); G06F 16/2455 (2019.01); G06F 16/2457 (2019.01); G06F 16/21 (2019.01); G06F 16/27 (2019.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/212 (2019.01); G06F 16/2465 (2019.01); G06F 16/24554 (2019.01); G06F 16/24578 (2019.01); G06F 16/278 (2019.01);
Abstract

Systems, methods, and other embodiments are disclosed for partitioning models in a database. In one embodiment, a set of training data is parsed into multiple data partitions based on partition keys, where the data partitions are identified by the partition keys and are used for training data mining models. The multiple data partitions are analyzed to generate partition metrics data. Algorithm data, identifying at least one algorithm for processing the multiple data partitions, and resources data, identifying available modeling resources for processing the multiple data partitions, are read. The partition metrics data, the algorithm data, and the resources data are processed to generate an organization data structure. The organization data structure is configured to control distribution and processing of the multiple data partitions across the available modeling resources to generate a composite model object that includes a separately trained data mining model for each partition of the multiple partitions.


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