Analysis of Hepatitis Dataset using Multirelational Association Rules

The hepatitis dataset was analyzed based on the mining of multirelational association rules. Experiments were conducted to analyze data on blood and urine exams and biopsy results to infer information on the behavior of degrees of fibrosis. Multirelational association rules were obtained using a new algorithm called Connection that identifies patterns in different tables without join them. The results of our analysis are discussed here, as is the Connection algorithm.