Mining association rules in medical data based on concept lattice

Concept lattice (Galois lattice) is an efficient tool for data analysis and rule extraction from multidimensional space. This paper introduces some definitions of concept lattice, and compares two methods of data inductive: AOI and concept lattice. After introduce the context, actual medical data is discretized and concept lattice and Hasse diagram are constructed to generate the concept hierarchy, and finally some strategies is used to extract interesting association rules. Experiment proves that concept lattice is an effective tools on mining association rules in medical database analysis.