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US Patent 12086038 Unsupervised log data anomaly detection

OverviewStructured DataIssuesContributorsActivity
Is a
Patent
Patent
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Date Filed
January 6, 2021
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Date of Patent
September 10, 2024
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Patent Application Number
17142278
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Patent Citations
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US Patent 11777970 Granular and prioritized visualization of anomalous log data
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US Patent 11853415 Context-based identification of anomalous log data
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US Patent 10592544 Generation of process models in domains with unstructured data
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US Patent 10810491 Real-time visualization of machine learning models
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US Patent 11163731 Autobuild log anomaly detection methods and systems
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US Patent 11366842 IT service monitoring by ingested machine data with KPI prediction and impactor determination
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US Patent 11392821 Detecting behavior patterns utilizing machine learning model trained with multi-modal time series analysis of diagnostic data
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US Patent 11568173 Method and apparatus for processing test execution logs to detremine error locations and error types
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US Patent 11631031 Automated model generation platform for recursive model building
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US Patent 11669735 System and method for automatically generating neural networks for anomaly detection in log data from distributed systems
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Patent Inventor Names
Dinesh Babu Yeddu
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
12086038
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Patent Primary Examiner
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Loan L. T. Truong
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CPC Code
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G06N 3/08
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