关键词: 区间概念格, 带参数规则挖掘, 支持度, 置信度, 规则精度

Abstract: After analyzing the association rule mining algorithm of classical concept lattice, in order to solve the issue of mining uncertain rule, this paper puts forward the model of mining interval association rule with parameters, combining with the properties of concept and structure of interval concept lattice. Firstly, this paper gives a series of definitions and related theorems in the course of mining interval rule, and based on the uncertainty of concept lattice, defines the measurable standard of interval association rule. Then, this paper constructs the model of mining rule with parameters based on interval concept lattice, and the analysis shows that the model can effectively extract association rules with high degree of support and confidence, so it improves the dependability of rules. Finally, through a case of book recommendation, this paper verifies the feasibility of this model, meanwhile studies the influence of α and β to interval association rule.

Key words: interval concept lattice, rule mining with parameters, support degree, confidence degree, rule accuracy