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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Statistical Perspective on Blocking Methods When Linking Large Data-sets
verfasst von : Nicoletta Cibella, Tiziana Tuoto
Erschienen in: Advanced Statistical Methods for the Analysis of Large Data-Sets
Verlag: Springer Berlin Heidelberg
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Abstract
The combined use of data from different sources is largely widespread. Record linkage is a complex process aiming at recognizing the same real world entity, differently represented in data sources. Many problems arise when dealing with large data-sets, connected with both computational and statistical aspects. The well-know blocking methods can reduce the number of record comparisons to a suitable number. In this context, the research and the debate are very animated among the information technology scientists. On the contrary, the statistical implications of different blocking methods are often neglected. This work is focused on highlighting the advantages and disadvantages of the main blocking methods in carrying out successfully a probabilistic record linkage process on large data-sets, stressing the statistical point of view.