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

Fingerprint

Websites
NASA
Navigation

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
Poornalatha, G. ; Prakash, S. Raghavendra. / Clustering web page sessions using sequence alignment method. Computational Intelligence and Information Technology - First International Conference, CIIT 2011, Proceedings. Vol. 250 CCIS 2011. pp. 479-483 (Communications in Computer and Information Science).
@inproceedings{7bfa0ae290b74ece880c9cc83b492f54,
title = "Clustering web page sessions using sequence alignment method",
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.",
author = "G. Poornalatha and Prakash, {S. Raghavendra}",
year = "2011",
doi = "10.1007/978-3-642-25734-6_79",
language = "English",
isbn = "9783642257339",
volume = "250 CCIS",
series = "Communications in Computer and Information Science",
pages = "479--483",
booktitle = "Computational Intelligence and Information Technology - First International Conference, CIIT 2011, Proceedings",

}

Poornalatha, G & Prakash, SR 2011, Clustering web page sessions using sequence alignment method. in Computational Intelligence and Information Technology - First International Conference, CIIT 2011, Proceedings. vol. 250 CCIS, Communications in Computer and Information Science, vol. 250 CCIS, pp. 479-483, 1st International Conference on Computational Intelligence and Information Technology, CIIT 2011, Pune, India, 07-11-11. https://doi.org/10.1007/978-3-642-25734-6_79

Clustering web page sessions using sequence alignment method. / Poornalatha, G.; Prakash, S. Raghavendra.

Computational Intelligence and Information Technology - First International Conference, CIIT 2011, Proceedings. Vol. 250 CCIS 2011. p. 479-483 (Communications in Computer and Information Science; Vol. 250 CCIS).

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

TY - GEN

T1 - Clustering web page sessions using sequence alignment method

AU - Poornalatha, G.

AU - Prakash, S. Raghavendra

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84055217467&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84055217467&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-25734-6_79

DO - 10.1007/978-3-642-25734-6_79

M3 - Conference contribution

SN - 9783642257339

VL - 250 CCIS

T3 - Communications in Computer and Information Science

SP - 479

EP - 483

BT - Computational Intelligence and Information Technology - First International Conference, CIIT 2011, Proceedings

ER -

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