基于动态数据挖掘的物流信息智能分析策略研究

Research on the Intelligent Analyzing Strategies of Logistics Information Based on Dynamic Data Mining

智能化的物流信息分析策略与方法对于提高物流信息管理与服务质量、促进物流信息管理理论的发展、推动物流企业信息化应用具有重要价值。文章针对物流信息的动态特征,以动态数据挖掘技术为核心,提出了基于动态数据挖掘的物流信息智能分析策略,包括基于流数据挖掘的物流信息实时分析策略、基于动态关联挖掘的物流信息多主体分析策略、基于云挖掘的物流信息并行分析策略、基于语义网格挖掘的物流信息多维分析策略等。研究表明,在提高物流信息分析的自动化程度与智能化水平、提升物流信息处理的质量与效率等方面,基于动态数据挖掘的智能分析策略具有显著的效果。

The intelligent analyzing strategy and method of logistics information are vital to improve the management and service quality of logistics information and connect the management theory of information logistics with the information building of logistics enterprise. According to the dynamic features of logistics information, this paper proposes the intelligent analyzing strategies of logistics information based on dynamic data mining. Dynamic data mining technology is the core of the intelligent analyzing strategies which include the real-time analyzing strategy based on stream data mining,the multi-agent analyzing strategy based on dynamic association mining, parallel analyzing strategy based on cloud mining,the multi-dimensional analyzing strategy based on semantic grid mining, et al. This research shows that the intelligent analyzing strategies based on dynamic data mining can significantly improve the level of automation and intelligence,and also can improve the quality and efficiency of logistics information processing.