Personality Mining Method in Web Based Education System Using Data Mining

摘要：

Web based education has become the new growth point of education development and primary developing trend of modern education technology. To meet the personalized needs of web based education; an improved association mining rule was proposed in the paper. First, data cube from database was established. Then, frequent item-set that satisfies the minimum support on data cube was mined out. Furthermore, association rules of frequent item-set were generated. Finally, redundant association rules through the relative method in statistics were wiped off. The algorithm had two advantages, and the first was that the execution time was short while searching for the frequent item-set; the second was that the precision of the rules was high. The algorithm was also used in personality mining system based on web based education model. The result manifested that the algorithm was effective.

作者: Jin Huang Aiqin Zhu Qi Luo

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）