摘要
移动网络电子商务物流信息实时提取能够及时对物流进行追踪、控制,对提高移动网络电子商务服务质量具有重要意义。针对当前移动网络电子商务物流信息提取存在的提取过程复杂,提取的实时性较差,占用内存空间较大,以及信息质量较差的问题,提出一种基于改进主成分分析的移动网络电子商务物流信息实时提取方法,通过分析移动网络电子商务物流信息的蕴含强度,对其关联规则进行度量,确定移动网络电子商务物流信息蕴含关联规则,实现对移动网络电子商务物流信息的挖掘,降低提取的复杂度,并利用主成分分析方法实现移动网络电子商务物流信息实时提取,针对主成分分析方法对物流信息提取的准确度不高问题,提出一种可增量更新数据特征主成分分析算法,通过计算电子商务信息提取的协方差矩阵,确定信息向量投影,从而实现移动网络电子商务物流信息实时提取方法。实验证明,所提方法提取后物流信息中噪声含量较低,提取得到的物流信息质量较高,且提取的时间较短,占用内存空间较小。
A real - time information extracting method of e - commerce logistics in mobile network based on improved principal component analysis was put forward. Through analysis of the implication strength of e - commerce lo- gistics information in mobile network, our research measured its association rules to determine the implication associ- ation rules of e - commerce logistics information in mobile network and thus to realize the mining of e - commerce lo- gistics information in mobile network. Thus, the complexity of extraction was reduced. On this basis, the principal component analysis method was used to realize the real - time extraction of e - commerce logistics information in mo- bile network. In the light of low accuracy of principal component analysis method to extract logistics information, a principal component analysis algorithm based on incremental updating data feature was proposed. Through the calculation of covariance matrix extracted from e -commerce information, the information vector projection was determined to realize the real - time extraction of e - commerce logistics information of mobile network. Simulations prove that the proposed method has low noise and high quality of the extracted logistics information. Meanwhile, the extraction time is short and the memory space is small.
作者
王卫东
WANG Wei - dong(College of Business,Northwest University of Political Science and Law,Xi＇an Shanxi 710063,China)
出处
《计算机仿真》
北大核心
2018年第8期266-269,共4页
Computer Simulation
基金
西北政法大学教改项目(XJY201407)
关键词
网络
电子商务
物流信息
实时
提取
Mobile network
Electronic Commerce
Logistics information
Real time
作者简介
王卫东（1969-），男（汉族），陕西西安人,硕士，副教授，研究方向：网络安全、电子商务。
