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US Patent 11341449 Data distillery for signal detection

Patent 11341449 was granted and assigned to FAIR ISAAC CORPORATION on May, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
0

Patent attributes

Patent Applicant
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FAIR ISAAC CORPORATION
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Current Assignee
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FAIR ISAAC CORPORATION
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
113414490
Patent Inventor Names
Nitin Basant0
Ryan Weber0
Shubham Kedia0
Mary Krone0
Mayumi Assato0
Paulo Mei0
Ana Paula Azevedo Travassos0
Chisoo Lyons0
...
Date of Patent
May 24, 2022
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Patent Application Number
165575720
Date Filed
August 30, 2019
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Patent Citations
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US Patent 10545975 Visual analysis of data using sequenced dataset reduction
Patent Citations Received
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US Patent 11631129 System and method for generating a finance attribute from tradeline data
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US Patent 11443373 System and method for providing an aggregation tool
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US Patent 11954731 System and method for generating a finance attribute from tradeline data
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Patent Primary Examiner
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Isaac M Woo
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CPC Code
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G06Q 10/06395
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G06F 16/9038
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G06F 16/9035
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G06N 20/00
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G06Q 10/067
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Computer-implemented methods, systems and products for analytics and discovery of patterns or signals. The method includes a set of operations or steps, including collecting data from a plurality of data sources, the data having a plurality of associated data types, and filtering the collected data based on identifying viable data sources from which the data is collected. The method further includes prioritizing discovery objectives based on analyzing the filtering results, and enriching the filtered collected data from viable data sources according to the prioritized discovery objectives. The method further includes extracting one or more signals from the enriched data using one or more machine learning mechanisms in combination with qualified subject matter expertise input, and graphically displaying the extracted signals in a meaningful way to a human operator such that the human operator is enabled to understand importance of extracted signals.

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