Research on spatial association rules mining based on the spatial adjacent index
Xuan Zhou · Cehui kexue · 2009
Traverse algorithm is used in spatial association rules mining,which result in the lower efficiency in massive data mining.Currently,spatial data mining model expresses spatial association weight with spatial adjacent matrix without consideration of quantitative adjacent results.By analyzing spatial entities' distribution and various neighbor relationships,this paper used adjacent index to calculate spatial association degree,and improved Apriori algorithm.Taking Changping district of Beijing as the sample data,the results showed that algorithm efficiency has improved greatly,and a number of potential symbiotic relationships between the land-use types has been mined.