电子商务客户网络购物行为挖掘

电子商务已经成为越来越多的消费者购物的一个重要途径，分析网络购物客户的个人特征及其购物行为，对商业的成功有着至关重要的作用。然而电子商务还是一个崭新的商业领域，很多的业界人士仍忙于技术方面的考虑，却很少分析客户的网络购买行为。而使用真实网络购物KDD Cup 2000数据，分析Gazelle．com公司客户的个人特征和网络购物行为，并应用数据挖掘的购物篮模型对各商品之间的关联性进行分析，才能更确切地预测模型预测客户的忠诚度。

Data Mining on the Purchase Behaviors of the Electronic Commerce Customers

With the rapid development of information technology, e - commerce grows every fast. Nowadays more and more customers choose e- commerce as one of the channels when they purchase products. However e - commerce is still a very new business field. Many business men put their efforts on the technological consideration, but not the online purchasing behavior of their customers. It is no doubt that customers are the most important part of a company. Who on earth are the online customers？ What are their web surfing and online purchasing behavior？ What is the difference between them and the traditional customers？ The answers to these questions are quite important for the success of e - commerce.