On Support and Confidence of Spatial Association Rule in Spatial Data Mining
Wenbao Liu · Journal of Zhengzhou Institute of Surveying and Mapping · 2007
The spatial dependence in data mining is normally represented by spatial association rules,which provide the critical information in assessing spatial correlations in large spatial databases.This paper improves the calculation method of support and confidence of spatial association rule when the set of transactions is a rough set,and puts forward the way of spatial data mining spatial association rule when the set of transactions is a rough set and the spatial data are fuzzy.At the same time,varying laws of support and confidence are studied while deducing new spatial association rules.