PATENT CLAIM ANALYSIS

Application Number: 16144230
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["705", "007340"]

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.

Claim (Index 13):
A computer system comprising:\n an electronic data store configured to at least store geographic data associated with each of a plurality of geographic units; and a computing system comprising one or more hardware computing devices, said computing system in communication with the electronic data store and configured to at least:\n access, from the electronic data store, geographic attribute data associated with a target geographic unit and one or more rollup geographic units, the geographic attribute data including household data attributes associated with each respective geographic unit, the household data attributes indicating at least a number of households associated with each respective geographic unit; \n identify, from the one or more rollup geographic units, one or more candidate geographic units for potential rollup aggregation with the target geographic unit; \n apply one or more filter criteria to the one or more candidate geographic units to remove candidate geographic units which do not satisfy the filter criteria, wherein the filter criteria relate to one or more household data attributes associated with respective candidate geographic units and the target geographic unit; \n determine, for each remaining candidate geographic unit after application of the filter criteria, a score based at least in part on similarity of the household data attributes associated with each remaining candidate geographic unit and the target geographic unit; \n aggregate a best candidate geographic unit for rollup aggregation with the target geographic unit into a rollup group, wherein the best candidate geographic unit is selected based on the determined scores, and wherein the aggregating comprises at least determining a combined number of households associated with the rollup group as the sum of the respective number of households associated with each geographic unit in the rollup group; and \n in response to determining that the combined number of households associated with the rollup group is not below a minimum threshold, providing the rollup group.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 97.0
- Lexical Diversity: 1.92135
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14244186', '12113259', '12006880', '11602807', '13049596']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.111255655809322
- 35 USC 102 Novelty (BERT): 0.5897068343825111
- Combined Prediction Score: 0.1591007736666409
- Mean Citation Score: 233.98231400000003
- Max Citation Score: 521.6225599999998
- Similarity Product: 457.3926746495912

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test