摘要
客户的需求预测是企业非常重视的一个方面,如何对客户的需求进行预测,数据挖掘作为一种最新的数据处理和分析技术,越来越受到重视和应用。对客户的消费行为的数据挖掘主要是关联分析,而普通的关联分析或购物篮分析只考虑到同一时间下客户的消费模式,本文在此基础上初步研究了时间序列中的关联规则,即不同时间客户需求的相关性。
The Forecasting of the customer's demand is very important in the enterprise,how to forecast the demand of customer,the method of Data mining is one of the most active fields as a technology of data analysis nowadays. The most important method of data mining to the customer's demand model is the Association analysis, the ordinary Association analysis or the analysis of the purchasing basket only think over the consumption model on the same time, this paper initially studied the association rule of the time series ,in the other words we study the customer demand's correlation and association of different period .
出处
《科技和产业》
2004年第11期22-26,共5页
Science Technology and Industry
基金
国家自然科学基金资助项目50174027