Regional Association Rule Mining and Scoping from Spatial Data
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-23166-7_11.pdf
Reference48 articles.
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2. Appice, A., Ceci, M., Lanza, A., Lisi, F.A., Malerba, D.: Discovery of spatial association rules in geo-referenced census data: A relational mining approach. Intell. Data Anal. 7(6), 541–566 (2003)
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4. Bogorny, V., Camargo, S., Engel, P.M., Alvares, L.O.: Mining frequent geographic patterns with knowledge constraints. In: GIS 2006: Proceedings of the 14th Annual ACM International Symposium on Advances in Geographic Information Systems, Arlington, Virginia, USA, pp. 139–146 (November 2006)
5. Bogorny, V., Kuijpers, B., Alvares, L.O.: Reducing uninteresting spatial association rules in geographic databases using background knowledge: a summary of results. Int. J. Geogr. Inf. Sci. 22(4), 361–386 (2008)
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