{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11283679","patent":{"patent_number":"US-11283679","title":"Data-driven identification and selection of features related to a state change of a network component","assignee":null,"inventors":[],"filing_date":"2020-09-14T00:00:00.000Z","publication_date":"2022-03-22T00:00:00.000Z","cpc_codes":["H04L","H04L","G06F","G06F","G06N","G06N","H04L","H04L"],"num_claims":20,"abstract":"Techniques and mechanisms for automatically identifying counters/features of a network component that are related to a state change (or event) for the network component or for the network itself. For example, using data obtained from the network component around a time of the state change, delta-averages for the counters/features around the time of the state change may be determined. The delta-averages may be utilized to determine which counters/features are most descriptive for a particular state change. Determining which counters/features are most descriptive may also include determining which counters/features are most relevant, i.e., counters/features that contribute most to preserving the manifold structure of the original data or counters/features with the highest or lowest correlation with the other counters/features in the data set. Thus, the techniques described herein provide for an approach to distill which counters/features contribute the most to a particular state change from a data driven perspective."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Data-driven identification and selection of features related to a state change of a network component","description":"Techniques and mechanisms for automatically identifying counters/features of a network component that are related to a state change (or event) for the network component or for the network itself. For ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11283679","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-11283679","citation_suggestion":"Patentable. \"Data-driven identification and selection of features related to a state change of a network component\" (US-11283679). https://patentable.app/patents/US-11283679","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11283679","json":"https://patentable.app/api/llm-context/US-11283679","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T17:05:32.343Z"}