面对当今庞大的汽车销售市场,从实际出发,基于多维数据联机和流数据的相关技术,提出一种适用于海量数据的树状概要数据的结构,配合使用统计学中的综合评价指标的方法,并给出该数据结构的一般描述.采用计算机的数据挖掘技术对客户的消费模式、行为、周期等进行分析,有利于决策者大大节约运营成本,及时抓住商机.
A tree summary data structure applicable to mass data was proposed in the paper in addition to a statistical method of comprehensive assessment indicators on the basis of both actual desires and multidimensional data online and stream data technology to cope with current huge auto sales market.Besides, a general description of the data structure was also presented.Such an analysis of customers' consuming modes, behaviors by means of data mining technology will help decision-makers to save operational costs and catch business opportunities.