A mapping system using a commercialized residential map is getting attention as an effective management tool in public service sectors. Utilization of a residential map by linking with an existing customer database allows efficient round inspection and quick response for customer's claims.
A conventional matching method for linking between an customer database and a residential map is simple comparison of customer's names and resident's names. This simple method is applicable only for a limited number of data, but it is not feasible in linkage of a large number of data because of extremely long computational time and low matching ratio.
In this paper, we propose an inferential matching method which enables automatic matching for a large volume database. This method rationalizes matching process by adaptive focusing of candidate-data. These data are selected in corporate with calculated matching certitude. We applied the method for 200, 000 customer data and the result shows the significant improvement of matching ratio from 30% to 60% in comparison with the conventional method.
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