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Behavior Study of Web Users Using Two-Phase Utility Mining and Density Based Clustering Algorithms

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Abstract:

After applying the clustering technique High Two phase utility mining algorithm is applied, targeted at finding itemsets that lead high utility. Excavation internet access sequences can discover extremely useful knowledge from internet logs with wideranging applications. Mining useful Internet path traversal patterns is a very important analysis issue in Internet technologies. Knowledge about the frequent Internet route traversal designs allows us to discover the most interesting Sites traversed of the users. However, considering sole the binary (presence/absence) occurrences of the Websites inside the Web traversal ways, real world situations might not be reflected. Therefore, if we consider the time spent by each owner as a utility value of the website, more interesting internet traversal paths can be discovered using proposed twophase algorithm. User page visits are sequential in nature.

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