Computer Science ›› 2008, Vol. 35 ›› Issue (10): 200-203.

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LIN Wen-long LIU Ye-zheng YU Zhi-xue (Institute of E-Business, Hefei University of Technology, Hefei 230009, China)   

  • Online:2018-11-16 Published:2018-11-16

Abstract: An enhanced algorithm which supports Website structure optimization was proposed for page clustering. A quantitative criteria was proposed by introducing the average distance in graph and the low access efficiency Web content pages group was discovered as

Key words: Web usage mining,Page clustering,Frequently visited page group,Self-adaptive Website

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