网络教学资源利用率优化管理仿真研究

Simulation Study on Optimization Management of Network Teaching Resources Utilization

对网络教学资源利用率的优化管理,需要将网络教学资源遗失信息进行封包截取。对资源利用率优化管理,先计算遗失信息离散属性的关联程度,将全部遗失信息的属性均值作为属性输入,完成教学资源利用率的优化管理。传统方法寻找各遗失信息数据关联性,构建管理系统,但忽略了求取遗失信息的属性均值作为属性输入,导致资源利用率优化管理效果不好。提出基于决策树的网络教学资源传输中遗失信息封包截取方法。依据决策属性值将网络教学资源传输中遗失信息数据集划分为多个信息子集,选取同一遗失信息子集内最近似的对象来填补条件属性遗失值,将全部遗失信息的属性均值作为属性输入,计算网络教学资源传输中遗失信息间的关联性,进而以遗失信息数据聚类的结果为基础完成遗失信息封包截取。实验仿真证明,所提方法提高了教学资源的有效利用率和用户查询结果的质量。

In this paper,we propose a capture method for lost information packet during transmission of network teaching resource. Firstly, according to decision attribute value, data set of the lost information was divided into multi- pie information subsets, and approximate object in the same subset of lost information was selected to fill up missing value of condition attribute. Then, mean value of attribute of all lost information was used as attribute input. Moreo- ver, relevance among the lost information was calculated. Thus, based on results of data clustering of the lost irfforma- tion, the capture of lost information packet was completed. The conclusions can be drawn from the experimental simu- lation that the method can improve effective availability of the teaching resource and quality of user search result.