{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11237939","patent":{"patent_number":"US-11237939","title":"Predictive anomaly detection framework","assignee":null,"inventors":[],"filing_date":"2017-03-01T00:00:00.000Z","publication_date":"2022-02-01T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F","G06F","H04L","G05B","G06F","H04L","H04L","H04L","H04L"],"num_claims":20,"abstract":"Embodiments of the invention are directed to techniques for detecting anomalous values in data streams using forecasting models. In some embodiments, a computer can receive a value of a data stream comprising a plurality of data values, where the received value corresponds to a time interval and previously received values each correspond to a previous time interval. Models can be selected based on the time interval, where each of the models has a different periodicity. For each of the selected models, the computer may generate a score by generating a prediction value based on the model and generating the score based on the prediction value and the received value. A final score can then be generated based on the scores. Next, a score threshold can be generated. If the final score exceeds the score threshold, the computer may generate a notification that indicates that the data value is an anomaly."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Predictive anomaly detection framework","description":"Embodiments of the invention are directed to techniques for detecting anomalous values in data streams using forecasting models. In some embodiments, a computer can receive a value of a data stream co","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11237939","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-11237939","citation_suggestion":"Patentable. \"Predictive anomaly detection framework\" (US-11237939). https://patentable.app/patents/US-11237939","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11237939","json":"https://patentable.app/api/llm-context/US-11237939","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T18:14:57.778Z"}