A Knowledge Rule Mining Method for the Evaluation of Library Service Quality Based on Genetic Algorithm

摘要：

　　In this study,the evaluation index system of library service quality is established and the representation method of knowledge rule is analyzed firstly.Then,a knowledge rule mining method for the evaluation of library service quality 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 knowledge rule mining method is feasible and valid.It is helpful for us to evaluate the library service quality fairly and objectively.

关键词： Knowledge rule mining Library Evaluation of Service Quality Genetic algorithm Knowledge rule base

作者: Wang Ping YAN Tai-shan

作者单位: Library, Hunan Institute of Science and Technology, China School of Information and Communication Engineering, Hunan Institute of Science andTechnology, China

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 1588-1592

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）