Clustering Web Page Sessions Using Sequence Alignment Method

Poornalatha, G and Prakash, Raghavendra S (2011) Clustering Web Page Sessions Using Sequence Alignment Method. Computational Intelligence and Information Technology, 250. pp. 479-483.

[img] PDF
CIIT Springer LNCS CCIS.pdf - Published Version
Restricted to Registered users only

Download (77kB) | Request a copy

Abstract

This paper illustrates clustering of web page sessions in order to identify the users’ navigation pattern. In the approach presented here, user sessions of variable lengths are compared pair wise, numbers of alignments are found between them and the distances are measured. Web page sessions are clustered by employing the modified k-means algorithm. A couple of web access logs including the well known NASA data set are used to illustrate the effectiveness of the clustering. R-squared measure is applied to determine the optimal number of clusters and chi-squared test is carried out to see the association between the various web page sessions that are clustered. These two measures show the goodness of the clusters formed

Item Type: Article
Uncontrolled Keywords: clustering, sequence alignment, web usage mining, R-squared measure, dynamic programming
Subjects: Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 07 Jan 2016 14:45
Last Modified: 07 Jan 2016 14:45
URI: http://eprints.manipal.edu/id/eprint/145016

Actions (login required)

View Item View Item