Spatial Feature Evolutionary Relationship Discovery Based on Tree Structure Pattern Mining and Spatial Co-Location Pattern Mining in Spatial Cliques

Feature evolutionary relationship discovery based on tree structure pattern mining and spatial co-location in cliques aims to combine algorithm find data relationships of features these cliques. This allows for a deeper analysis possible causal between features, predicting the occurrence other certain or summarizing general laws. For clique, appearance one feature may lead another feature, which is called relationship. Previous algorithms (such as join-based) focus discovering prevalent co-occur patterns. We further discovered through algorithm.