Data Mining in Web-based Educational System Using An Improved GA
In this paper we present how to apply an improved Genetic algorithm (GA), which introduce a diversity control method in GA, for data mining of student information obtained in a Web-based Educational Adaptive Hypermedia System. The objective is to obtain interesting association rules so that the teacher can improve the performance of the system. In order to check the proposed algorithm we have used a Web-based Course developed for use by medical students. First, we will describe the proposed methodology, later the specific characteristics of the course and we will explain the information obtained about the students. We will continue on with the implemented Genetic Algorithm (GA) and finally with the rules discovered and the conclusions.
Data Mining Educational System Genetic Algorithm
Yunlong Zhou
School of Information Technology, Southern Yangtze University, No.1800, Lihudadao Road, Wuxi, Jiangsu 214122, China
国际会议
杭州
英文
627-629
2006-10-12（万方平台首次上网日期，不代表论文的发表时间）