On Multidimensional Sharpening of Uncertain Data
نویسنده
چکیده
In this paper, we will propose a technique for multidimensional enhancement of uncertain data. In many applications, the uncertainty in the different dimensions is caused by independent factors, especially if the different dimensions have been collected from independent sources. In such cases, it is possible to enhance the quality of the data and reduce the underlying uncertainty by using multidimensional uncertainty analysis. In this paper, we will discuss techniques for uncertainty reduction of multidimensional uncertain data. We will examine the effectiveness of the approach over a variety of real and synthetic data sets.
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