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Data fusion involves multi-sources or multi-presentations of a single source to perform inferences which are more comprehensive and accurate than those of any single method. Thus, data fusion makes it possible to create a synergistic process in which the consolidation of individual data creates a combined resource with a productive value greater than the sum of its parts. While considerable research has been done on data fusion in the past, most of them performed in the field of multi-sensor fusion. There has been relatively less work conducted in a data mining context.
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