摘要
挖掘商务网站客户的频繁访问模式,可以为提高商务网站的个性化服务水平和服务质量提供辅助决策支持。研究使用Web服务器日志数据挖掘客户频繁访问模式的方法,并依据客户访问网站序列的有序性和连续性,对Apriori算法提出四点改进。应用改进后的Apriori于Web使用挖掘中,明显提升算法的效率。
Mining business Website customers frequent access patterns,can provide complementary decision support on improving the Website personalized business service level and quality of service.Based on the log data of Web Server,researches on mining customers frequent access patterns.According to the order and continuity of customers access sequence,puts forward four points of improvement on Apriori algorithm.With the application of the improved Apriori algorithm on Web usage mining,it obviously enhance the efficiency of the algorithm.
出处
《现代计算机》
2010年第8期8-12,17,共6页
Modern Computer
