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Título

Selecting potentially relevant records using re-identification methods

AutorDomingo-Ferrer, Josep; Torra, Vicenç
Palabras claveRecord selection
Re-identification algorithms
Multi-database mining
Knowledge discovery in databases
Data mining
Chance discovery
Record linkage
Fecha de publicación2004
EditorSpringer
CitaciónNew Generation Computing 22: 239- 252 (2004)
ResumenThis 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 35 non-common variables. We show that the use of a simple heuristic rule base can effectively select potentially interesting records.
URIhttp://hdl.handle.net/10261/162481
Identificadoresissn: 0288-3635
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