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.
Patent No.:
Date of Patent:
Sep. 28, 2021
Filed:
Jun. 06, 2018
Adara, Inc., Palo Alto, CA (US);
Michael Baird Leavitt, Belmont, CA (US);
Chinmay Vikram Gandhi, San Jose, CA (US);
Hongcheng Mi, Belmont, CA (US);
Yuan Gao, Foster City, CA (US);
Shuo yang, Milpitas, CA (US);
Dylan Tao-Pei Su, San Jose, CA (US);
Julius Quinoveva Quiaot, Fremont, CA (US);
Jian An, Union City, CA (US);
Xiaozhou Fang, Apex, NC (US);
Melissa Beth Stein, San Mateo, CA (US);
ADARA, INC., Palo Alto, CA (US);
Abstract
Techniques are described for pooling data originating from different entities into a data pool managed by a data pool management system for performing accurate and resource-efficient statistical and other data operations by entities. Techniques further include maintaining rule sets that govern access to the data sets of the data pool. The DPMS uses the rule sets to determine whether a particular data set, on which a particular operation is requested to be performed, qualifies as authorized data for the requesting entity. In an embodiment, the DPMS determines, based on one rule set, that the particular data set does not qualify as authorized data for the particular operation. The DPMS further determines that based on another rule set the particular data set does qualify as authorized data for the particular operation. Based on determining that authorizing rule set overrides the non-authorizing rule set, DPMS proceeds to performing the particular operation using the particular data set.