{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9646264","patent":{"patent_number":"US-9646264","title":"Relevance-weighted forecasting based on time-series decomposition","assignee":null,"inventors":[],"filing_date":"2015-02-25T00:00:00.000Z","publication_date":"2017-05-09T00:00:00.000Z","cpc_codes":["G06N","G06N"],"num_claims":25,"abstract":"An input time-series is decomposed into a set of constituent frequencies. For each constituent frequency in a subset of the set of constituent frequencies, a corresponding forecasting model is selected in a subset from a set of forecasting models. From a set of component forecasts produced by the subset of forecasting models, a subset of component forecasts is selected. A component forecast in the subset of component forecasts is selected according to a component forecast selection condition. The subset of component forecasts is output to revise the forecast selection condition. A revised forecast selection condition increases a relevance of a future subset of component forecasts."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Relevance-weighted forecasting based on time-series decomposition","description":"An input time-series is decomposed into a set of constituent frequencies. For each constituent frequency in a subset of the set of constituent frequencies, a corresponding forecasting model is selecte","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9646264","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-9646264","citation_suggestion":"Patentable. \"Relevance-weighted forecasting based on time-series decomposition\" (US-9646264). https://patentable.app/patents/US-9646264","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9646264","json":"https://patentable.app/api/llm-context/US-9646264","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T13:35:20.415Z"}