Data Matching by Peter Christen

Author:Peter Christen
Language: eng
Format: epub
Publisher: Springer Berlin Heidelberg, Berlin, Heidelberg

(6.12)

Table 6.1Costs associated with various matching decisions as proposed by Verykios et al. [263]

Cost

Classification

True match status

Non-Match

True match ()

Non-Match

True non-match ()

Potential Match

True match ()

Potential Match

True non-match ()

Match

True match ()

Match

True non-match ()

As shown in Table 6.1, different costs can be assigned to each of the six decision outcomes in the traditional Fellegi and Sunter model, where record pairs are classified into matches, non-matches and potential matches. The objective of a cost optimal decision rule is then to minimise the overall cost :

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