Machine learning collaboration techniques
US-2024420212-A1 · Dec 19, 2024 · US
US9047488B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9047488-B2 |
| Application number | US-201313842585-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 15, 2013 |
| Priority date | Mar 15, 2013 |
| Publication date | Jun 2, 2015 |
| Grant date | Jun 2, 2015 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
Mechanisms are provided for relational context sensitive anonymization of data. A request for data is received that specifies a relational context corresponding to a selected group of selected persons selected from a global group of persons based on the relational context. The relational context specifies one or more attributes of selected persons in the selected group that establishes a relationship between the selected persons and distinguishes the selected persons from non-selected persons in the global group that are not in the selected group. For the relational context, based on a corpus of personal information data corresponding to the selected persons, key attributes in the personal information data are determined and a rarity value for each key attribute is determined. Selected key attributes are then anonymized based on the determined rarity value for each of the key attributes within the relational context of the selected group.
Opening claim text (preview).
What is claimed is: 1. A method, in a data processing system comprising a processor and a memory, for relational context sensitive anonymization of data, comprising: receiving, by the data processing system, a request for data, wherein the request specifies a relational context corresponding to a selected group of selected persons selected from a global group of persons based on the relational context, and wherein the relational context specifies one or more attributes of selected…
Physics · mapped topic
Physics · mapped topic
Related publications grouped by family.
Free tools are coming soon. Tell us what you want to track and we'll notify you.
Answers are generated from the same data shown on this page.