{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11514349","patent":{"patent_number":"US-11514349","title":"Apparatus and methods of unsupervised machine learning models to identify seasonality and predicting seasonally-influenced metric values","assignee":null,"inventors":[],"filing_date":"2020-09-22T00:00:00.000Z","publication_date":"2022-11-29T00:00:00.000Z","cpc_codes":["G06N","G06N"],"num_claims":13,"abstract":"In some embodiments, an apparatus includes a geometric aggregator that receives data for a set of time periods and a location. The data has a first set of first metric values and a set of second metric values for each time period and lacks a mixture of Gaussian distributions. The geometric aggregator calculates a geometric aggregation of the data for each time period to produce a first metric value from a second set of first metric values, having a mixture of Gaussian distributions. The apparatus includes a Gaussian mixture model that predicts a set of Gaussian distributions, each uniquely associated with a season, within a set of histogram values for the data based on the second set of first metric values. The apparatus includes a presentation portion that produces a set of adjusted first metric values based on the set of histogram values, each uniquely associated with a season."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Apparatus and methods of unsupervised machine learning models to identify seasonality and predicting seasonally-influenced metric values","description":"In some embodiments, an apparatus includes a geometric aggregator that receives data for a set of time periods and a location. The data has a first set of first metric values and a set of second metri","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11514349","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-11514349","citation_suggestion":"Patentable. \"Apparatus and methods of unsupervised machine learning models to identify seasonality and predicting seasonally-influenced metric values\" (US-11514349). https://patentable.app/patents/US-11514349","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11514349","json":"https://patentable.app/api/llm-context/US-11514349","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T01:59:18.724Z"}