Invention Grant
- Patent Title: Statistical record linkage calibration for multi token fields without the need for human interaction
- Patent Title (中): 不需要人为交互的多标记字段的统计记录链接校准
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Application No.: US13417681Application Date: 2012-03-12
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Publication No.: US08484168B2Publication Date: 2013-07-09
- Inventor: David Alan Bayliss
- Applicant: David Alan Bayliss
- Applicant Address: US FL Boca Raton
- Assignee: LexisNexis Risk & Information Analytics Group, Inc.
- Current Assignee: LexisNexis Risk & Information Analytics Group, Inc.
- Current Assignee Address: US FL Boca Raton
- Agency: Troutman Sanders LLP
- Agent Ryan A. Schneider; Mark Lehi Jones
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
Disclosed is a system for, and method of, calculating parameters used to determine whether records and entity representations should be linked. The system and method utilize blended field weights to account for certain types of partial matches. The system and method apply iterative techniques such that parameters from each linking iteration are used in the next linking iteration. The system and method need no human interaction in order to calibrate and utilize record matching formulas used for the linking decisions.
Public/Granted literature
- US20120173545A1 STATISTICAL RECORD LINKAGE CALIBRATION FOR MULTI TOKEN FIELDS WITHOUT THE NEED FOR HUMAN INTERACTION Public/Granted day:2012-07-05
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