{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11514347","patent":{"patent_number":"US-11514347","title":"Identifying and remediating system anomalies through machine learning algorithms","assignee":null,"inventors":[],"filing_date":"2019-02-01T00:00:00.000Z","publication_date":"2022-11-29T00:00:00.000Z","cpc_codes":["H04L","G06N","G06N","G06N","G06N","G06N","H04L","H04L","H04L","H04L","H04L","H04L","H04L","H04L"],"num_claims":20,"abstract":"Methods, apparatus, and processor-readable storage media for identifying and remediating anomalies through cognitively assorted machine learning algorithms are provided herein. A computer-implemented method includes: identifying, using system log data, a target variable based at least in part on correlations between a set of performance indicators of a system and the target variable, and threshold values for the performance indicators relative to the target variable; generating an inference model to predict when the system will enter an adverse state and identify one or more root causes of the system entering the adverse state; using machine reinforcement learning to determine an action policy including actions that remediate the adverse state; predicting that the system will enter the adverse state by applying the inference model to further system log data; and automatically executing one or more actions of the action policy in response to the prediction."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Identifying and remediating system anomalies through machine learning algorithms","description":"Methods, apparatus, and processor-readable storage media for identifying and remediating anomalies through cognitively assorted machine learning algorithms are provided herein. A computer-implemented ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11514347","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11514347","citation_suggestion":"Patentable. \"Identifying and remediating system anomalies through machine learning algorithms\" (US-11514347). https://patentable.app/patents/US-11514347","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11514347","json":"https://patentable.app/api/llm-context/US-11514347","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T03:23:10.742Z"}