Discovery of spatial association rules in geo-referenced census data: A relational mining approach

Annalisa Appice, Michelangelo Ceci, Antonietta Lanza, Francesca A. Lisi, Donato Malerba

Intelligent Data Analysis · 2003 · 90 citations · 21 references

Concepts

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

References

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