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《Journal of Computer Applications》 2007-03
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Pattern discovery of Web user access patterns based on maximal frequent path method

Lü Cheng, WEI Chu-yuan, ZHANG Han-tao(Department of Computer Science and Technology, Beijing Institute of Civil Engineering and Architecture, Beijing 100044, China)  
As far as the issue on Web user access pattern is concerned, adopting Maximal Frequent Path (MFP) can mine more universal patterns. A new user access pattern tree named WUAP-tree was devised. Furthermore, a new algorithm named WUAP-mine was proposed for mining user access patterns, which was based on E-OEM model for page topological structure and users' browse path. The algorithm utilized WUAP-tree that could neither generate candidate sets nor use recursive ways. It could mine frequent Web users' access patterns by scanning transaction database and output-depth-first traversing WUAP-tree only once. The algorithm is very easy to query Web user access patterns from WUAP-tree directly. At last, theoretical analysis and experimental results prove its effectiveness and efficiency.
【Fund】: 北京市教委科技发展计划项目(KM200510016002)
【CateGory Index】: TP311.13
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