Study of business intelligence discovery based on web usage mining
Chen Qing-guang · Jisuanji gongcheng yu sheji · 2008
After the characteristics of web usage mining and the limitations of conventional data mining are analyzed,an idea that dis-covering business intelligence by using web usage mining in electronic commerce system is presented.And then an applied model of web usage mining and some key techniques are given.At the end,the FP-growth algorithm is used to mine interestness association rules at an e-commerce site,and the effectness and feasibility is also detected.