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US Patent 12086038 Unsupervised log data anomaly detection

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Patent
Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
120860380
Patent Inventor Names
Dinesh Babu Yeddu0
Date of Patent
September 10, 2024
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Patent Application Number
171422780
Date Filed
January 6, 2021
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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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...
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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Patent abstract

Detecting log data anomalies by pre-processing log data entries, identifying sequences of the log data entries, generating at least one key performance indicator (KPI) for the log data entries according to the sequences, training at least one machine learning (ML) model according to the KPI, and identifying a log data entry anomaly according to the machine learning model.

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