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Mining Spatial Association Rules with No Distance Parameter

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Intelligent Information Processing and Web Mining

Part of the book series: Advances in Soft Computing ((AINSC,volume 35))

Abstract

The paper focuses on finding spatial association rules. A new approach to mining spatial association rules is proposed. The neighborhood is defined in terms of the Delaunay diagrams, instead of predefining distance thresholds with extra runs. Once a Delaunay diagram is created, it is used for determining neighborhoods, and then, based on this knowledge it continues with finding association rules.

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© 2006 Springer

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Bembenik, R., RybiƄski, H. (2006). Mining Spatial Association Rules with No Distance Parameter. In: KƂopotek, M.A., WierzchoƄ, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-33521-8_54

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  • DOI: https://doi.org/10.1007/3-540-33521-8_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33520-7

  • Online ISBN: 978-3-540-33521-4

  • eBook Packages: EngineeringEngineering (R0)

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