Mining Method of Ontology Accessorial Constrained Geospatial Association Rule
Leilei Ma · 2011
A new way of how the ontology theory being used in assisting constrained geospatial association rules mining was proposed.Constraints defined by user include two types,prune constraints and delaminate(abstract) constraints,which are interpreted logically by using hiberarchy about the domain and property of conception represented by ontology.With the optimization of experiment dataset,the mining efficiency is enhanced and the mined results is optimized,which provide a viable means to figure out the problem of having huge data but lacking useful knowledge.The statistic yearbook and traffic data of Henan province was taken as real data and the performance was validated by analyzing and mining the association rules between economy and traffic.