关键词: 知识规则挖掘, 知识规则库, 知识规则适应度, 电子商务网站评价, 遗传算法

Abstract: E-commerce website evaluation depends on the knowledge rules to a large extent. In this study, the evaluation index system of E-commerce website is established and the representation method of knowledge rule is analyzed firstly. Then, a method for mining knowledge rules of E-commerce website evaluation based on an improved genetic algorithm is proposed. In the algorithm, selection operator, help operator, crossover operator and mutation operator are used to generate new knowledge rules. Knowledge rules are evaluated by their accuracy, coverage and reliability. Experimental results show that this method for mining knowledge rules is feasible and valid.

Key words: knowledge rule mining, knowledge rule base, fitness of knowledge rule, E-commerce Website evaluation, genetic algorithm