A Novel Positive and Negative Spatial Co-location Rules Mining Algorithm
Xiaolin Qin · Journal of Chinese Computer Systems · 2008
Spatial co-location rules mining is a new method in spatial data mining.Although there have some researching on spatial co-location rules mining,but mostly researchers discuss only positive spatial co-location rules,don't consider negative spatial co-location rules.In this paper,a novel positive and negative spatial co-location rules mining algorithm(PNSCLRMA) was proposed.To reduce the computational cost,the algorithm uses two optimization techniques of adopting star neighborhoods to reduce join operations and defining the interesting degree to delete uninteresting spatial co-location patterns.Experimental results show that the algorithm is feasible and efficient.