Frequency-incorporated interdependency rules mining in spatiotemporal databases

Journal Publication ResearchOnline@JCU
Lee, Ickjai
Ickjai Lee
Abstract

Spatiotemporal association rules mining is to reveal interrelationships within large spatiotemporal databases. One critical limitation of traditional approaches is that they are confined to qualitative attribute measures. Quantitative frequencies are either ignored or discretized. In this paper, we propose a robust data mining method that efficiently reveals frequency-incorporated associations in spatiotemporal databases.

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Volume

3213

ISBN/ISSN

1611-3349

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Pages Count

7

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Publisher

Springer

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Publisher Location

Heidelberg, Germany

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DOI

10.1007/978-3-540-30132-5_31