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A fuzzy approach to intensive data mining

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2 Author(s)
Buscema, M. ; Semeion Res. Center, Rome, Italy ; Sacco, P.L.

For many spatial processes, there is a natural need to find out the point of origin on the basis of the available scatter of observations; think for instance of finding out the home-base of a criminal given the actual distribution of crime scenes, or the outbreak source of an epidemics. We introduce a new methodology based on the notion of Topological Weighted Centroid (TWC) that allows one to draw powerful inferences also in relatively intractable cases with few observations or a poorly understood underlying data generating process. In this paper we consider reconstruction of global political and economic relationships on the basis of a small-dimensional qualitative dataset.

Published in:

Fuzzy Information Processing Society (NAFIPS), 2010 Annual Meeting of the North American

Date of Conference:

12-14 July 2010