ABSTRACT
The co-location pattern, as a method for mining spatial data, has received increasing attention since Yoo and Shekhar first proposed two co-location algorithms based on join and joinless modes. Many scholars have since presented new co-location algorithms, for instances, fuzzy co-location pattern mining, parallel co-location pattern mining, the adaptive maximal co-location algorithm, efficient co-location pattern mining, co-location pattern mining with rare features, co-location-based decision trees (CL-DT), manifold learning co-location pattern mining, and the maximal instance co-location pattern mining.
