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:
Oct. 05, 2021

Filed:

Jul. 29, 2019
Applicant:

Salesforce.com, Inc., San Francisco, CA (US);

Inventors:

Chang Lu, Vancouver, CA;

Lingtao Zhang, Coquitlam, CA;

Amit Kumar, Fremont, CA (US);

Assignee:

salesforce.com, inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/2455 (2019.01); G06F 17/15 (2006.01); G06F 16/26 (2019.01);
U.S. Cl.
CPC ...
G06F 16/2456 (2019.01); G06F 16/26 (2019.01); G06F 17/15 (2013.01);
Abstract

Examples are described herein that relate to determining a level of relatedness between datasets. An approximation can be made of whether an entry in a first dataset appears in a same row as an entry in a second dataset. The approximation can be made by grouping entries in the second dataset together and determining an occurrence that an entry occurs in a same row as any of the entries in a grouping of entries. A test of independence between datasets can be made based at least on the occurrence values. Datasets can be ranked according to level of independence and presented to a user as candidates to join with a dataset. Occurrence values or rankings can be precomputed and available for use so that join candidates can be presented with a little amount of perceived delay to a user. A user interface can present join candidates for a dataset and allow the user the select datasets for joining. Joining of first and second datasets can supplement entries in both of the datasets and create a third dataset.


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