{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9818063","patent":{"patent_number":"US-9818063","title":"Forecasting interest in an object over a future period of time using a three-stage time-series analysis process","assignee":null,"inventors":[],"filing_date":"2016-08-10T00:00:00.000Z","publication_date":"2017-11-14T00:00:00.000Z","cpc_codes":["G06N"],"num_claims":24,"abstract":"Information related to a time series can be predicted. For example, a repetitive characteristic of the time series can be determined by analyzing the time series for a pattern that repeats over a predetermined time period. An adjusted time series can be generated by removing the repetitive characteristic from the time series. An effect of a moving event on the adjusted time series can be determined. The moving event can occur on different dates for two or more consecutive years. A residual time series can be generated by removing the effect of the moving event from the adjusted time series. A base forecast that is independent of the repetitive characteristic and the effect of the moving event can be generated using the residual time series. A predictive forecast can be generated by including the repetitive characteristic and the effect of the moving event into the base forecast."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Forecasting interest in an object over a future period of time using a three-stage time-series analysis process","description":"Information related to a time series can be predicted. For example, a repetitive characteristic of the time series can be determined by analyzing the time series for a pattern that repeats over a pred","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9818063","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-9818063","citation_suggestion":"Patentable. \"Forecasting interest in an object over a future period of time using a three-stage time-series analysis process\" (US-9818063). https://patentable.app/patents/US-9818063","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9818063","json":"https://patentable.app/api/llm-context/US-9818063","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T06:24:09.371Z"}