Invention Grant
- Patent Title: Entity data attribution using disparate data sets
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Application No.: US15209544Application Date: 2016-07-13
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Publication No.: US10223429B2Publication Date: 2019-03-05
- Inventor: Jean-Baptiste Michel , Alan Hampton , Ananya Shukla , I. K. Ashok Sivakumar
- Applicant: PALANTIR TECHNOLOGIES INC.
- Applicant Address: US CA Palo Alto
- Assignee: PALANTIR TECHNOLOGIES INC.
- Current Assignee: PALANTIR TECHNOLOGIES INC.
- Current Assignee Address: US CA Palo Alto
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06N7/00

Abstract:
Systems and methods for using disparate data sets to attribute data to an entity are disclosed. Disparate data sets can be obtained from a variety of data sources. The disclosed systems and methods can obtain a first and second data set. Trajectories can represent multiple data records in a data set associated with an entity. Trajectories from the obtained data sets can be used to associate data stored among the various data sets. The association can be based on the agreement between the trajectories. The associated data records can further be used to associate the entities related to the associated data records.
Public/Granted literature
- US20170154082A1 ENTITY DATA ATTRIBUTION USING DISPARATE DATA SETS Public/Granted day:2017-06-01
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