摘要
电子商务网站的网上业务量巨大，在每天的大量业务中蕴涵了许多用户的隐藏信息。每个顾客在WEB上的行为都会产生相关数据，这不只是包括购买的信息，而且还有利用搜索引擎和在站点内浏览的相关数据。所有的交互数据都可以被网站后台的数据库记录下来，这些大量的数据集合包含了对历史记录的市场分析以及数据驱动的市场预测非常有益的潜在信息。利用完善的数据库技术，现在的公司能够比较容易地搜集到大量的客户信息。而通过把数据挖掘在WEB上的应用，即WEB MINING技术，公司可以利用有效的顾客信息，发掘潜在的市场，提高竞争力。
： More and more commerce－related transactions are becoming digital．The more you know about your customers，the better you can serve them．Every customer action on a Web site generates data，not just high－level interactions such as buying something，but also something as simple as using a search engine or navigating through a site．All these interactions between digital service providers and the consumer can be recorded and stored in digital databases．These large data sets contain information helpful to business marketing strategies，both for retrospective analysis as well as data－driven forecasting．Web mining tools will provide companies with previously unknown statistics and useful insights into the behavior of their online customers via analyzing the data on the web．
出处
《计算机工程与应用》
CSCD
北大核心
2001年第6期85-87,共3页
Computer Engineering and Applications
