Adaptive neural network clustering of web users

Santosh K. Rangarajan, Vir V. Phoha, Kiran S. Balagani, Rastko R. Selmic, S. S. Iyengar

Research output: Contribution to Magazine/Trade PublicationArticle

49 Scopus citations


A clustering algorithm that groups users according to their Web access patterns was developed and its performance compared with the traditional k-means clustering algorithm. Results show that the new algorithm which is based on ART1 performs better in terms of intracluster distances. The technique was also applied in a prefetching scheme that predicts future user requests. Its prediction accuracy was as high as 97.78 percent.

Original languageEnglish (US)
Number of pages7
Specialist publicationComputer
StatePublished - Apr 2004
Externally publishedYes

ASJC Scopus subject areas

  • General Computer Science


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