{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11481490","patent":{"patent_number":"US-11481490","title":"Systems and methods for automated labeling of subscriber digital event data in a machine learning-based digital threat mitigation platform","assignee":null,"inventors":[],"filing_date":"2022-03-14T00:00:00.000Z","publication_date":"2022-10-25T00:00:00.000Z","cpc_codes":["G06F","G06F","G06N","G06N","G06F"],"num_claims":20,"abstract":"A system and method for accelerating an automated labeling of a volume of unlabeled digital event data samples includes identifying a corpus characteristic of a digital event data corpus that includes a plurality of distinct unlabeled digital event data samples; selecting an automated bulk labeling algorithm based on the corpus characteristic associated with the digital event data corpus satisfying a bulk labeling criterion of the automated bulk labeling algorithm; evaluating a subset of the plurality of unlabeled digital event data samples, wherein evaluating the subset includes attributing a distinct classification label to each digital event data sample within the subset; and in response to the selection, executing the selected automated bulk labeling algorithm against the digital event data corpus, wherein the executing includes simultaneously assigning a classification label equivalent to the distinct classification label to a superset of the digital event data corpus that relates to the subset."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Systems and methods for automated labeling of subscriber digital event data in a machine learning-based digital threat mitigation platform","description":"A system and method for accelerating an automated labeling of a volume of unlabeled digital event data samples includes identifying a corpus characteristic of a digital event data corpus that includes","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11481490","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-11481490","citation_suggestion":"Patentable. \"Systems and methods for automated labeling of subscriber digital event data in a machine learning-based digital threat mitigation platform\" (US-11481490). https://patentable.app/patents/US-11481490","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11481490","json":"https://patentable.app/api/llm-context/US-11481490","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T13:52:33.092Z"}