Methods of Mining Fuzzy Spatial Association Rules
Lan Rong-qing, Zengliang Liu, Xiaomei Yang · Journal of Institute of Surveying and Mapping · 2005
In this paper, we combine the fuzzy association rule mining approaches with the methods of fuzzy concept hierarchy presentation as well as analyzing of fuzzy spatial relation hierarchy(including topology, direction and distance) to develop a method for extracting fuzzy spatial association rules from geographical data and remote sensing images. Based on application examples, we introduce the derivation and realization of mining algorithm and the computing of confidence and support in detail.