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Supporting degree and its minimal threshold have important impacts on the designment of quick and effective algorithm of multilayer correlative rules. This paper introduces interzone supporting degree for computing supporting degree of item sets of intersectional layer rationally which avoids unmeaningful intersectional layer rules. Further, this paper comes up with a method of adjusting minimal supporting degree thresholds of different layers by the threshold of each abstract layer from experts and the recording of user’s feedback. This method overcomes the subjective impact of fixed threshold on the extraction of interesting correlative mode in some degree, making the correlative rules promoted to the user are more closer to the user’s interest, shows the character of personalized promotion. Keywords-component; data mining; multilayer correlative rule; supporting degree

Research on the Supporting Degree of Multilayer Correlative Rules and Its Minimal Thresholds