{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9710857","patent":{"patent_number":"US-9710857","title":"Detecting anomalous user activity","assignee":null,"inventors":[],"filing_date":"2010-11-19T00:00:00.000Z","publication_date":"2017-07-18T00:00:00.000Z","cpc_codes":["G06Q"],"num_claims":19,"abstract":"Systems, methods and articles for determining anomalous user activity are disclosed. Data representing a transaction activity corresponding to a plurality of user transactions can be received and user transactions can be grouped according to types of user transactions. The transaction activity can be determined to be anomalous in relation to the grouped user transactions based on a predetermined parameter."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Detecting anomalous user activity","description":"Systems, methods and articles for determining anomalous user activity are disclosed. Data representing a transaction activity corresponding to a plurality of user transactions can be received and user","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9710857","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-9710857","citation_suggestion":"Patentable. \"Detecting anomalous user activity\" (US-9710857). https://patentable.app/patents/US-9710857","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9710857","json":"https://patentable.app/api/llm-context/US-9710857","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T07:05:13.009Z"}