Frequency-incorporated interdependency rules mining in spatiotemporal databases

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.