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US Patent 7930260 System and method for real time pattern identification

Patent 7930260 was granted and assigned to EBay on April, 2011 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Current Assignee
EBay
EBay
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
79302600
Patent Inventor Names
Brian Matthew Carnes0
Harshal Ulhas Deo0
Lakshman Shyam Sundar Maddali0
Date of Patent
April 19, 2011
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Patent Application Number
120312580
Date Filed
February 14, 2008
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Patent Citations Received
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US Patent 12079502 Storage element attribute-based determination of a data protection policy for use within a storage system
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US Patent 11941116 Ransomware-based data protection parameter modification
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US Patent 12067118 Detection of writing to a non-header portion of a file as an indicator of a possible ransomware attack against a storage system
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US Patent 12079356 Measurement interval anomaly detection-based generation of snapshots
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US Patent 12079333 Independent security threat detection and remediation by storage systems in a synchronous replication arrangement
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US Patent 11657146 Compressibility metric-based detection of a ransomware threat to a storage system
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Patent Primary Examiner
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Michael Holmes
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Patent abstract

A method for near real time patterns identification, in one example embodiment, comprises receiving a data stream containing information associated with a transaction and participants of the transaction and receiving an Artificial Intelligence (AI) algorithm trained to score data in the data stream. The method may further comprise receiving metadata associated with the historical information, comparing the data stream to the metadata by measuring differences between variables included in the historical metadata and the data stream. The method may further comprise modifying the data stream to suit the AI algorithm when the differences between variables are below predetermined threshold values and retraining the AI algorithm based on the data stream when the differences between the variables are greater than the predetermined threshold values. The method may further comprise feeding the data stream to the AI algorithm to classify the variables in the data stream.

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