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ICDM
2005
IEEE

A Heterogeneous Field Matching Method for Record Linkage

9 years 5 months ago
A Heterogeneous Field Matching Method for Record Linkage
Record linkage is the process of determining that two records refer to the same entity. A key subprocess is evaluating how well the individual fields, or attributes, of the records match each other. One approach to matching fields is to use hand-written domain-specific rules. This “expert systems” approach may result in good performance for specific applications, but it is not scalable. This paper describes a new machine learning approach that creates expert-like rules for field matching. In our approach, the relationship between two field values is described by a set of heterogeneous transformations. Previous machine learning methods used simple models to evaluate the distance between two fields. However, our approach enables more sophisticated relationships to be modeled, which better capture the complex domain specific, common-sense phenomena that humans use to judge similarity. We compare our approach to methods that rely on simpler homogeneous models in several domain...
Steven Minton, Claude Nanjo, Craig A. Knoblock, Ma
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICDM
Authors Steven Minton, Claude Nanjo, Craig A. Knoblock, Martin Michalowski, Matthew Michelson
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