STATISTICAL RECORD LINKAGE CALIBRATION FOR MULTI TOKEN FIELDS WITHOUT THE NEED FOR HUMAN INTERACTION

Patent №

US 8,484,168

Granted

2013-07-09

Filed 2012

Owner

LEXISNEXIS RISK & INFORMATION ANALYTICS GROUP INC.

Lab

AI components

5

ml · nlp · kr · planning · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13417681

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.

Machine learningNatural languageKnowledge representationPlanningEvolutionary computationG06F 16/285G06F 16/215G06F 16/2246G06F 16/24G06F 16/245G06F 16/2455G06F 16/282G06F 16/35+1 more

AI classification

Machine learning1.00
Planning0.97
Evolutionary computation0.95
Natural language0.93
Knowledge representation0.88
AI hardware0.14
Speech0.01
Vision0.00

Ownership

LEXISNEXIS RISK & INFORMATION ANALYTICS GROUP INC.

assignment · 291050512

Assignors

BAYLISS, DAVID

On an employer assignment, the assignors are typically the inventors.

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