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:
Dec. 19, 2023

Filed:

Apr. 12, 2022
Applicant:

Palantir Technologies Inc., Denver, CO (US);

Inventors:

Harkirat Singh, New York, NY (US);

Geoffrey Stowe, San Francisco, CA (US);

Brendan Weickert, McLean, CA (US);

Matthew Sprague, Palo Alto, CA (US);

Michael Kross, Palo Alto, CA (US);

Adam Borochoff, New York, NY (US);

Parvathy Menon, San Jose, CA (US);

Michael Harris, Carmel, IN (US);

Assignee:

Palantir Technologies Inc., Denver, CO (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 40/00 (2023.01); H04L 9/40 (2022.01); G06F 16/2457 (2019.01); G06F 16/23 (2019.01); G06F 16/242 (2019.01); G06F 16/28 (2019.01); G06F 16/9535 (2019.01); G06Q 10/10 (2023.01); G06Q 40/02 (2023.01); G06Q 40/10 (2023.01); G06F 16/335 (2019.01); G06F 16/35 (2019.01); G06F 16/26 (2019.01); G06F 16/2458 (2019.01); G06Q 40/03 (2023.01); G06Q 20/40 (2012.01); G06Q 30/018 (2023.01); G06Q 40/12 (2023.01); G06Q 20/38 (2012.01);
U.S. Cl.
CPC ...
H04L 63/145 (2013.01); G06F 16/23 (2019.01); G06F 16/244 (2019.01); G06F 16/2465 (2019.01); G06F 16/24578 (2019.01); G06F 16/26 (2019.01); G06F 16/283 (2019.01); G06F 16/285 (2019.01); G06F 16/287 (2019.01); G06F 16/288 (2019.01); G06F 16/335 (2019.01); G06F 16/35 (2019.01); G06F 16/355 (2019.01); G06F 16/9535 (2019.01); G06Q 10/10 (2013.01); G06Q 20/382 (2013.01); G06Q 20/4016 (2013.01); G06Q 30/0185 (2013.01); G06Q 40/00 (2013.01); G06Q 40/02 (2013.01); G06Q 40/03 (2023.01); G06Q 40/10 (2013.01); G06Q 40/123 (2013.12);
Abstract

In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed. Seeds may be generated based on seed generation strategies or rules. Clusters may be generated by, for example, retrieving a seed, adding the seed to a first cluster, retrieving a clustering strategy or rules, and adding related data and/or data entities to the cluster based on the clustering strategy. Various cluster scores may be generated based on attributes of data in a given cluster. Further, cluster metascores may be generated based on various cluster scores associated with a cluster. Clusters may be ranked based on cluster metascores. Various embodiments may enable an analyst to discover various insights related to data clusters, and may be applicable to various tasks including, for example, tax fraud detection, beaconing malware detection, malware user-agent detection, and/or activity trend detection, among various others.


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