BtoB网站用户访问模式挖掘研究

Mining Users' Access Patterns in a BtoB Website

把数据挖掘技术与电子商务网站有效结合，深入分析Apriori算法，并运用散列技术改进算法来实现电子商务网站用户访问关联模式的挖掘。经过实验验证，这是一种有效的分析、评价和完善电子商务网站的方式。

The paper combines the data mining technology with E-commerce websites effectively, analyzes the Apriori algorithm deeply, and optimizes it with hashing to find association rules. It's a useful method to analyze and evaluate E-commerce websites.