Discovery of Spatial Association Rules Based on the Meteorological Data of Yunnan Province;

Fuzzy genetic algorithm has a character that can solve random and nonlinear problem easily,and it can settle the problem of spatial association rule mining with the character.

On the basis of analyzing the typical spatial association rules algorithm,the paper aims at the shotage of the regular redundancy and the excavation elasticity proposes a multi-level spatial association rules mining algorithm based on meta-rule and FP-Tree growth algorithm.

Mining and Visualization of Spatial Association Rules Based on Web;

Most differences between spatial association rules and traditional association rules are the fact that distance relation,direction relation and topology relation of the spatial entity are needed to be taken into account.

An idea of gaining the big scale spatial association rules from the small scale spatial association rules is also expressed.

This paper establishes a new spatial multi-dimensional association rules model (SMARM) for multi-dimensional spatial data mining, where spatial transactions are defined by a notion of impact zone based on spatia.

This paper introduces an ILP Method Applied in Spatial Association Rule Mining.

In this paper, we combine the fuzzy association rule mining approaches with the methods of fuzzy concept hierarchy presentation as well as analyzing of fuzzy spatial relation hierarchy(including topology, direction and distance) to develop a method for extracting fuzzy spatial association rules from geographical data and remote sensing images.