Analysis of Aggregation Methods in Incomplete Database Systems

J.M. Doña, O.P. Quintana, M.E. Valesani, O.A. Vallejos.

Incomplete data is often a problem present in real datasets and different techniques are used to alleviate this problem. In this paper the performance of the different aggregation methods are analyzed, also OWA operator and traditional imputation techniques are compared.

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