Spatiotemporal co-occurrence rules (STCORs) discovery is an important problem in many application domains such as weather monitoring and solar physics, which is our application focus. In this paper, we present a general framework to identify STCORs for continuously evolving spatiotemporal events that have extended spatial representations. We also analyse a set of anti-monotone (monotonically non-increasing) and non anti-monotone measures to identify STCORs. We then validate and evaluate our framework on a real-life data set and report results of the comparison of the number candidates needed to discover actual patterns, memory usage, and the number of STCORs discovered using the anti-monotonic and non anti-monotonic measures.
CITATION STYLE
Pillai, K. G., Angryk, R. A., Banda, J. M., Wylie, T., & Schuh, M. A. (2014). Spatiotemporal co-occurrence rules. In Advances in Intelligent Systems and Computing (Vol. 241, pp. 27–35). Springer Verlag. https://doi.org/10.1007/978-3-319-01863-8_3
Mendeley helps you to discover research relevant for your work.