Method for mining knowledge rules of E-commerce Website evaluation
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 algo-rithm, 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.
国家科技期刊平台
NSTL
万方数据
维普
