The Census Bureau conducted evaluations of person duplication in Census 2000. Duplicates of short geographic distances were identified by both clerical and computer matching. The evaluations showed that for these short distance duplicates that the computer matching algorithms were not able to find all of the duplicates identified by the clerks. However, the computer matching algorithms in the p...

Identifying records referring to the same real world entity over time enables longitudinal data analysis. However, difficulties arise from the dynamic nature of the world: the entities described by a temporal data set often evolve their states over time. While the state of the art approach to temporal entity matching achieves high accuracy, this approach is computationally expensive and cannot ...

BACKGROUND Vast amounts of data are collected about patients and service users in the course of health and social care service delivery. Electronic data systems for patient records have the potential to revolutionise service delivery and research. But in order to achieve this, it is essential that the ability to link the data at the individual record level be retained whilst adhering to the pri...

OBJECTIVES At each patient contact general practitioners enter information about the diagnoses and the interventions in the electronic medical record (EMR) system. If there is only one diagnosis during a single patient-physician contact, then a causal connection between the diagnosis and the intervention is established. Otherwise it is uncertain what may have been the cause of the intervention....

Many record matching problems involve information that is insufficient or incomplete, and thus solutions that classify which pairs of records are matches often involve acquiring additional information at some cost. For example, web resources impose extra query or download time. As the amount of resources that can be acquired is large, solutions invariably acquire only a subset of the resources ...

The estimation of nonresponse bias and measurement error share the problem of usually not having a criterion to assess the quality of the estimate. Nonresponse bias analysis often uses responders within the survey sample who are in some way similar to nonresponders to estimate the potential bias. This depends on the variables within the survey being related to both the likelihood of responding ...

We present a type inference system for a language with object-oriented features such as polymorphic record access and subtyping. We separate the notion of matching and subtyping in order to avoid di culties caused by recursive type constraints. We will use two kinds of type constraints | record (variant) constraints and subtyping constraints. Then, we discuss simpli cation of such mixed type co...

The problem of duplicate detection is to find out whether the same real-world object is represented by two or more distinct entries in the database. Duplicate detection is otherwise known as Record linkage or record matching. It is a greatly researched topic and is of vital importance in fields such as master data management, data warehousing and ETL (Extraction, Transformation and Loading), cu...