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 specialist publicationArticle

46 Scopus citations

Abstract

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)
Pages34-40
Number of pages7
Volume37
No4
Specialist publicationComputer
DOIs
StatePublished - Apr 2004

ASJC Scopus subject areas

  • Computer Science(all)

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    Rangarajan, S. K., Phoha, V. V., Balagani, K. S., Selmic, R. R., & Iyengar, S. S. (2004). Adaptive neural network clustering of web users. Computer, 37(4), 34-40. https://doi.org/10.1109/MC.2004.1297299