Three-level HAC on food borne disease and related treatment to help medical DSS

Medical Database include all the essential information to predict, diagnosis and make decision about treatment to any disease, but we cannot recognize the hidden knowledge with nude eyes. We need microscope to do its works, so we use data mining method clustering as microscope on medical database to extract hidden knowledge which will be helpful to medical domain. Applying Conceptual clustering is an important way of summarizing data. This paper focuses on HAC method of clustering to analyze food borne diseases & help medical domain to take decision on those disease. The goal is to find knowledge of disease causation, to prevent and control disease, and to help administrative guidance.