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US Patent 10102536 Micro-geographic aggregation system

Patent 10102536 was granted and assigned to Experian on October, 2018 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
Experian
Experian
Current Assignee
Experian
Experian
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10102536
Date of Patent
October 16, 2018
Patent Application Number
14244186
Date Filed
April 3, 2014
Patent Citations Received
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US Patent 11308170 Systems and methods for data verification
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US Patent 11620314 User rating based on comparing groups
5
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US Patent 11650061 Comparative metrics for route planning scenarios
6
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US Patent 11681733 Massive scale heterogeneous data ingestion and user resolution
7
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US Patent 10445152 Systems and methods for dynamic report generation based on automatic modeling of complex data structures
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US Patent 10580025 Micro-geographic aggregation system
‌
US Patent 10678894 Disambiguation and authentication of device users
‌
US Patent 11550886 Disambiguation and authentication of device users
...
Patent Primary Examiner
‌
Jeff Zimmerman
Patent abstract

The present disclosure describes systems and methods for automatically rolling-up data associated with one or more geographic units, such as ZIP+4 codes, such that the rollup comprises a minimum number of households to protect anonymity and ensure compliance with privacy regulations, while preserving variance of the underlying data associated with the geographic regions. Data attributes may include demographic data, socio-economic data, lifestyle segmentation, psychographic data, behavioral data, credit data, and other data. The rollup process may involve identifying one or more geographic units with a number of households below a minimum or threshold amount, applying filters to find candidate geographic units for rollup, scoring candidate geographic units to select best pairings for rollup, and repeating until the rollup group has at least the minimum number of households. The process may make trades off between granularity (e.g., number of households), proximity, and similarity of data attributes associated with each geographic unit.

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