Examining Frequent URLs for Speeding up the Web Access
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Abstract
These days web is a vast collection of information and is growing rapidly. In the real world, enterprises and organizations have challenges to keep a clear and well organized Websites. Web master may need to know about visitor’s access information such as mostly visited path for frequently accessed pages. Web usage mining process helps in identifying usage pattern from web data in pattern discovery phase. Usage pattern plays a significant role to predict user access pattern while the user is interacting with web sites. In this paper, researcher proposed the procedure to examine those web pages which are browsed by the user most frequently and to term those URL’s as frequent pattern, that may be handed over to the web master.
Keywords: Frequent Pattern; Web Page; Minimized Frequent Pattern; Web Usage Mining; Web Log
Keywords: Frequent Pattern; Web Page; Minimized Frequent Pattern; Web Usage Mining; Web Log
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