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US Patent 11694276 Process for automatically matching datasets

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Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Bottomline Technologies
Bottomline Technologies
1
Current Assignee
Bottomline Technologies
Bottomline Technologies
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
116942761
Date of Patent
July 4, 2023
1
Patent Application Number
174591701
Date Filed
August 27, 2021
1
Patent Citations
‌
US Patent 7716129 Electronic payment methods
1
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US Patent 7726561 System and method for reconciling credit card payments with corresponding transactions
1
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US Patent 7730521 Authentication device initiated lawful intercept of network traffic
1
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US Patent 7860783 Account-level fraud detector and associated methods
1
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US Patent 7970669 Method and system for store-to-consumer transaction management
1
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US Patent 8392975 Method and system for image-based user authentication
1
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US Patent 8433791 Apparatus and method for monitoring and auditing activity of a legacy environment
1
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US Patent 8484168 Statistical record linkage calibration for multi token fields without the need for human interaction
1
...
Patent Primary Examiner
‌
Fateh M Obaid
1

This document describes a non-transitory computer readable media programmed to enrich an entered record submitted to be matched with a dataset record stored on a data storage device. The enrichment is done by supplementing data in the entered record with customer data from a dataset. The media is further programmed to search through a plurality of dataset records in the dataset for the entered record. The search is programmed to first determine if the entered record unambiguously matches one of the dataset records or if the entered record unambiguously does not match one of the dataset records. If the entered record does not unambiguously match one of the dataset records, score match characteristics using a Fellegi-Sunter algorithm, save the score as a highest score if the score is above the highest score less a threshold, and save a location of one of the dataset records as a matching record if the score is above a previous highest score. Next, tune a Fellegi-Sunter algorithm parameter with the data from the entered record and data from one of the dataset records; and when the dataset records have been checked, return the matching record.

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