文件名称:Similarity_Measurement_of_Web_Sessions_Based_on_Se
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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
W b sessions is how to measure the similarity between Web
sessions.However.there are many shortcomings in traditiona1
measurements.This paper introduces a new method for measuring
similarities between Web pages that takes into account not only the
URL but also the viewing time of the visited web page.Yhen we
give a new method to measure the similarity of Web sessions using
sequence alignment and the similarity of W eb page access in detail
Experiments have proved that our method is valid and e币cient.
group similarity while minimizing the inter-group similarity.
The first and foremost question needed to be considered in clustering
W b sessions is how to measure the similarity between Web
sessions.However.there are many shortcomings in traditiona1
measurements.This paper introduces a new method for measuring
similarities between Web pages that takes into account not only the
URL but also the viewing time of the visited web page.Yhen we
give a new method to measure the similarity of Web sessions using
sequence alignment and the similarity of W eb page access in detail
Experiments have proved that our method is valid and e币cient.
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Similarity_Measurement_of_Web_Sessions_Based_on_Sequence_Alignment.pdf
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