Using a compound approach based on elaborated neural network for Webometrics: An example issued from the EICSTES project

@article{Lamirel2004UsingAC,
  title={Using a compound approach based on elaborated neural network for Webometrics: An example issued from the EICSTES project},
  author={J. Lamirel and S. A. Shehabi and C. François and X. Polanco},
  journal={Scientometrics},
  year={2004},
  volume={61},
  pages={427-441}
}
This paper present a compound approach for Webometrics based on an extension the self-organizing multimap MultiSOM model. The goal of this new approach is to combine link and domain clustering in order to increase the reliability and the precision of Webometrics studies. The extension proposed for the MultiSOM model is based on a Bayesian network-oriented approach. A first experiment shows that the behaviour of such an extension is coherent with its expected properties for Webometrics. A second… Expand
MultiSOM: A Multiview Neural Model for Accurately Analyzing and Mining Complex Data
  • J. Lamirel, S. Al Shehabi
  • Computer Science
  • Fourth International Conference on Coordinated & Multiple Views in Exploratory Visualization (CMV'06)
  • 2006
Knowledge Extraction from Unsupervised Multi-topographic Neural Network Models
Extracting Informative Rules from High Dimensional Data Using a Numerical Approach
A New Multi-Viewpoint and Multi-Level Clustering Paradigm for Efficient Data Mining Tasks
Policy-relevant Webometrics for individual scientific fields
Multi-topographic neural network communication and generalization for multi-viewpoint analysis
  • S. A. Shehabi, J. Lamirel
  • Computer Science
  • Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.
  • 2005
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