Adaptive neural network clustering of web users Article

Rangarajan, SK, Phoha, VV, Balagani, KS et al. (2004). Adaptive neural network clustering of web users . 37(4), 34-40. 10.1109/MC.2004.1297299

cited authors

  • Rangarajan, SK; Phoha, VV; Balagani, KS; Selmic, RR; Iyengar, SS

fiu authors

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.

publication date

  • April 1, 2004

Digital Object Identifier (DOI)

start page

  • 34

end page

  • 40

volume

  • 37

issue

  • 4