A Novel Knowledge Discovery Method for the Kidney Disease Diagnosis in TCM Based on Attribute Hierarchical Graphs

On the basis of the theory of formal concept analysis (FCA), we proposed a new method based on hierarchical optimization formal context for generating attribute hierarchical graphs in this paper. By this method, we optimize the formal context of kidney disease, than build an attribute hierarchical graph, and discover the diagnosis knowledge in Traditional Chinese Medicine (TCM) at last. Finally, by combing former literature research we would like to show the availability and effectiveness of the proposed method.