摘要
物流信息日益大数据化,急需实现物流信息分析的智能化。云挖掘是由云计算技术支撑的并行数据挖掘,是实现物流信息智能分析的有效方法。基于云挖掘的物流信息智能分析应用平台具有超强的海量数据处理能力,有很强的可扩展性;用户无需自己开发应用软件,允许用户任意提交服务请求,能够有效处理和利用分布在各节点之间的数据和计算设备,可为不具备数据挖掘相关知识的用户提供"一站式服务",使用户低成本地利用该平台。
With the logistics information becoming big data,realizing the intelligent analyzing of logistics information is emergent. Cloud mining is a parallel data mining supported by cloud computing technology;it is an effective method to realize the intelligent analyzing of logistics information. The intelligent analyzing application platform of logistics information based on cloud mining has superpower in processing massive data and very extensible;it is not necessary for the users to develop app;and the users can be allowed to submit requirement of service at their option;this platform can effectively take advantage of data and computing equipment naturally distributing among different nodes,provide the users with＂one stop service＂,and reduce the cost of users.
出处
《中国流通经济》
CSSCI
北大核心
2016年第1期31-36,共6页
China Business and Market
基金
国家自然科学基金项目"基于动态数据挖掘的物流信息智能分析研究"(项目编号:71373197)
关键词
物流信息
云挖掘
物流信息智能分析
云计算
logistics information
cloud mining
intelligent analyzing of logistics information
cloud computing
