期刊：
KAM: 2008 INTERNATIONAL SYMPOSIUM ON KNOWLEDGE ACQUISITION AND MODELING, PROCEEDINGS,2008年:415-418
通讯作者：
Lin, Mei
作者机构：
[Wu, Yanwen; Lin, Mei; He, Yuan] Cent China Normal Univ, Dept Informat & Technol, Wuhan 430079, Peoples R China.
通讯机构：
[Lin, Mei] C;Cent China Normal Univ, Dept Informat & Technol, Wuhan 430079, Peoples R China.
会议名称：
Knowledge Acquisition and Modeling, 2008. KAM '08. International Symposium on
摘要：
Inspector mechanism, an important part of educational quality management, is the key of promoting the teaching quality. Scientific network inspector mechanism should be constructed to meet the need of enhancing the network teaching quality management in excellent course. In this paper, network inspector mechanism and its related contents are discussed based on the practice. Moreover, some topics such as e-portfolio and online evaluation, two essential tools in network inspector mechanism, are also discussed
期刊：
Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding, Proceeding of the 14th International Conference on Computers in Education, ICCE 2006,2006年:167-170
通讯作者：
Luo, Q.(ccnu_luo2008@yahoo.com.cn)
作者机构：
[Wu, Yanwen; Luo, Qi; Yu, Ying; Wan, Liyong] Department of Information and Technology, Central China Normal University, Wuhan, China;[Luo, Qi] Department of Information Engineering, Wuhan University of Science and Technology, Zhongnan Branch, Wuhan, China
会议名称：
Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding, Proceeding of the 14th International Conference on Computers in Education, ICCE 2006, November 30 - December 4, 2006, Beijing, China
摘要：
To meet the personalized needs of E-learning, an improved association mining rules 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, 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 E-learning model (PMSEM).The results manifested that the algorithm was effective.
