Invention Grant
- Patent Title: Systems and methods for automated labeling of subscriber digital event data in a machine learning-based digital threat mitigation platform
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Application No.: US17945990Application Date: 2022-09-15
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Publication No.: US11645386B2Publication Date: 2023-05-09
- Inventor: Wei Liu , Ralf Gunter Correa Carvalho
- Applicant: Sift Science, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Sift Science, Inc.
- Current Assignee: Sift Science, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Alce PLLC
- Agent Chandler Scheitlin; Padowithz Alce
- Main IPC: G06F21/55
- IPC: G06F21/55 ; G06N5/022
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.
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