Clustering web page sessions using sequence alignment method

G. Poornalatha, S. Raghavendra Prakash

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationComputational Intelligence and Information Technology - First International Conference, CIIT 2011, Proceedings
Pages479-483
Number of pages5
Volume250 CCIS
DOIs
Publication statusPublished - 2011
Event1st International Conference on Computational Intelligence and Information Technology, CIIT 2011 - Pune, India
Duration: 07-11-201108-11-2011

Publication series

NameCommunications in Computer and Information Science
Volume250 CCIS
ISSN (Print)1865-0929

Conference

Conference1st International Conference on Computational Intelligence and Information Technology, CIIT 2011
CountryIndia
CityPune
Period07-11-1108-11-11

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All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

Poornalatha, G., & Prakash, S. R. (2011). Clustering web page sessions using sequence alignment method. In Computational Intelligence and Information Technology - First International Conference, CIIT 2011, Proceedings (Vol. 250 CCIS, pp. 479-483). (Communications in Computer and Information Science; Vol. 250 CCIS). https://doi.org/10.1007/978-3-642-25734-6_79