Mining of spatial association rules in Chinese energy-saving vegetation database based on apriori algorithm

摘要

Based on the calculation of spatial relationships, the aim of the paper is to extract interested strong spatial association rules using the apriori algorithm. Firstly, calculate coarse spatial relationships in spatial objects. Secondly, a large mode with the strong implicated relationship was mined on the top of attribute concept hierarchy. Thirdly, a deep calculating was taken in these large mode under a low attribute concept hierarchy until there was no large mode was found . Finally, spatial objects, which cannot meet the large mode, was filtered out, and candidate spatial predicates which needed detailed investigation were taken to do detailed spatial computation. By the process of Spatial association rules mining in Chinese Energy-Saving Vegetation Database, it was confirmed that excavation of interested strong association rules from large spatial databases was feasible and believable.