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The task of Web session clustering is to group Web sessions according to similarities, so as to maximize the similarities within the group and, minimize the similarities between the groups. The number of clusters, the initial data points of the respective clusters, and the defining of criterion function are the 3 key points and difficulties that deserve consideration in Web session clustering. WSCBIS,...
The task of clustering Web sessions is to group Web sessions based on similarity and consists of maximizing the intra-group similarity while minimizing the inter-group similarity. The first and foremost question needed to be considered in clustering Web sessions is how to measure the similarity between Web sessions. However, there are many shortcomings in traditional measurements. This paper introduces...
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