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US Patent 11841786 Predictive anomaly detection framework
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Patent
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Date Filed
December 20, 2021
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Date of Patent
December 12, 2023
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Patent Application Number
17556792
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Patent Citations
US Patent 7792770 Method to indentify anomalous data using cascaded K-Means clustering and an ID3 decision tree
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US Patent 9300684 Methods and systems for statistical aberrant behavior detection of time-series data
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US Patent 9727533 Detecting anomalies in a time series
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US Patent 9772896 Identifying intervals of unusual activity in information technology systems
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US Patent 10061677 Fast automated detection of seasonal patterns in time series data without prior knowledge of seasonal periodicity
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US Patent 10102056 Anomaly detection using machine learning
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US Patent 10263833 Root cause investigation of site speed performance anomalies
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US Patent 10402244 Detection of abnormal resource usage in a data center
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US Patent 10409665 System and method for real-time detection of anomalies in database usage
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US Patent 10459827 Machine-learning based anomaly detection for heterogenous data sources
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Patent Inventor Names
Abdul Hadi Shakir
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Subash Prabanantham
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Raghuveer Chanda
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Vipul Valamjee
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Himanshu Ojha
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Patent Jurisdiction
United States Patent and Trademark Office
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Patent Number
11841786
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Patent Primary Examiner
Elmira Mehrmanesh
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CPC Code
G06F 11/3447
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G06N 20/20
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G06F 11/0751
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G06F 11/3075
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G06F 11/3452
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