|Title||Selecting potentially relevant records using re-identification methods|
|Publication Type||Journal Article|
|Year of Publication||2004|
|Authors||Domingo-Ferrer J, Torra V|
|Journal||New generation computing|
This work proposes re-identification algorithms to select records that are interesting from the point of view of giving new information. Instead of focusing on re-identified elements, we focus on non re-identified records (non linked records) as they are the ones that potentially supply new and relevant information. Moreover, these relevant characteristics can correspond to chances for improving the knowledge of a system. To evaluate our approach, we have applied it to a example using publicly available data from the UCI repository. We have used the data of the ionosphere data base to build a re-identification problem for non-common variables. We show that the use of a simple heuristic rule base can effectively select potentially interesting records.
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