面向电子商务的Web数据挖掘研究

随着网络技术和数据库技术的飞速发展，电子商务显示出越来越强大的生命力，同时各种基于互联网的商业Web站点也面临越来越激烈的竞争。如何了解到顾客尽可能多的爱好和价值取向，为顾客提供更优质的服务成为电子商务发展迫切要解决的问题。而电子商务网站的顾客在Web上的行为都会产生大量数据信息，利用数据挖掘技术可以有效地帮助企业分析这些数据，优化Web站点拓扑结构，指导企业调整营销策略，给客户提供动态的个性化的高效率服务。

On Web Data Excavated of E-commerce

Network technology and database technology are developed at full speed, e - commerce demonstrates stronger and stronger vitality, various commercial Web websites based on Internet face keen competition more and more too at the same time. How to know customer＇ s bobbies as many as possible and value orientation, offering more high - quality services to customer becomes the problem solved urgently in development of e - commerce. And the behavior on Web of customer of the e - commerce website will all produce a large number of data information, utilize the data to help enterprises to analyze these data effectively while excavating technology, optimize Web website＇ s topological structure, instruct enterprises to adjust the marketing tactics, provide the dynamic individualized high efficiency service for customer.