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US Patent 10129118 Real time anomaly detection for data streams

Patent 10129118 was granted and assigned to Amazon on November, 2018 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Amazon
Amazon
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Current Assignee
Amazon
Amazon
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
101291180
Patent Inventor Names
Gaurav D. Ghare0
Roger Shane Barga0
Date of Patent
November 13, 2018
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Patent Application Number
150843430
Date Filed
March 29, 2016
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Patent Citations Received
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US Patent 12019634 Reassigning a processing node from downloading to searching a data group
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US Patent 11892996 Identifying an indexing node to process data using a resource catalog
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US Patent 11919523 Systems and methods for driver scoring with machine learning
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US Patent 11949702 Analysis and mitigation of network security risks
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US Patent 11966797 Indexing data at a data intake and query system based on a node capacity threshold
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US Patent 12003523 Model generation apparatus, model generation method, and computer readable medium
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US Patent 10375169 System and method for automatically triggering the live migration of cloud services and automatically performing the triggered migration
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US Patent 10392022 Systems and methods for driver scoring with machine learning
0
...
Patent Primary Examiner
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Lashonda Jacobs
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Patent abstract

Real time detection of anomalies may be implemented for a data stream. A data stream may receive data records as input. An evaluation of the data records may be performed as the data records are received utilizing an anomaly detection model that is dynamically generated for a time period that includes the data records. A responsive action may be performed in response to detecting various anomalies, such as providing a notification of the anomaly, requesting a corrective action, invoking further analysis of the detected anomaly. Evaluations of the data record and responsive actions may be performed as specified by a user, in some embodiments.

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