Multi-Resolution Pruning Based Co-Location Identification In Spatial Data
A co-location spatial pattern is a pattern of multiple groups which co-relates spatial features or events that are frequently located in same zone. Co-location pattern mining emphasizes overall analysis by manipulating the proportion of spatial features and other relevant information's. In this paper the authors are trying to remove the problem of co-location mining from the large data set. Data is generated from wide range of data sources that are available in geographical space. One method to mine the widely spread co-location is to compute the participation index in measuring the prevalence of the co-location.