Annalisa Appice, Michelangelo Ceci, Antonietta Lanza, Francesca A. Lisi, Donato Malerba  Home/Search
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Abstract: Census data mining has great potential both in business development and in good public policy, but still must be solved in this field a number of research issues. In this paper, problems related to the geo-referenciation of census data are considered. In particular, the accommodation of the spatial dimension in census data mining is investigated for the task of discovering spatial association rules, that is, association rules involving spatial relations among (spatial) objects. The formulation... (Update)
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BibTeX entry: (Update)
@misc{ appice-discovery,
author = "Annalisa Appice and Michelangelo Ceci and Antonietta Lanza and Francesca
A. Lisi and Donato Malerba",
title = "Discovery of spatial association rules in geo-referenced census data: A
relational mining approach",
url = "citeseer.ist.psu.edu/appice03discovery.html" }
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