Web数据挖掘在高校教务考试中的应用

Application of Web Data Mining in College Network Examination

介绍Web数据挖掘概念的分类、校园内网络化考试考前练习中的数据资源以及校园网络化考试考前练习中Web数据挖掘的主要过程。将传统的数据挖掘与Web结合起来进行Web数据挖掘,通过此系统,可以大大简化传统的考试过程。实践证明,通过对学生平时练习的Web数据进行挖掘分析,可以更合理地控制网络化考试试题的难易程度,有利于进行个性化辅导以及有利于管理员维护试题库。

Classified concepts of Web data mining, data sources and the main process of Web data mining in Web - based network examination before test are introduced. The system of Web data mining by associating Web with conventional data mining,which can simplify the process of conventional examination. The practice shows that through the analysis of Web data mining, hardness and easiness of network examination can be controlled reasonably, and to be in favor of individualized Tutor- ship to be in favor of defense of the examination questions library.