Wednesday, February 07, 2007

Probabilistic Matching

Probabilistic matching uses likelihood ratio theory to assign comparison outcomes to the correct, or more likely decision.

Probabilistic matching enables one to use match scores and percentages on a field by field comparison to determine a match. There are three categories output from probabilistic matching and are set by the user based on the overall probability percentage:

1) Match - that can be automatically merged
2) Candidate Match - requiring manual review
3) Non Match

Artificial Intelligence and Machine Learning utilize probabilistic matching.