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Assessing the Use of the SOM Technique in Data Mining

Dorina Marghescu, Mikko J. Rajanen, Assessing the Use of the SOM Technique in Data Mining. In: Proceedings of the IASTED International Conference on Databases and Applications, February 14 – 16, 2005, Innsbruck, Austria, 181-186, Acta Press, 2005.

Abstract:

The Self-Organizing Maps method is a special type of neural network used in clustering, visualization and abstraction. In this paper, we evaluate to what extent users of the SOM technique are satisfied with this tool in visualizing large amounts of data. The contribution of the paper consists of identifying the factors that influence the quality of use of SOM tools at the three levels considered for analysis: visualization of data, interaction with the tool, and information obtained.

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BibTeX entry:

@INPROCEEDINGS{inpMaRa05a,
  title = {Assessing the Use of the SOM Technique in Data Mining},
  booktitle = {Proceedings of the IASTED International Conference on Databases and Applications, February 14 – 16, 2005, Innsbruck, Austria},
  author = {Marghescu, Dorina and Rajanen, Mikko J.},
  publisher = {Acta Press},
  pages = {181-186},
  year = {2005},
  keywords = {SOM, visualization, evaluation, quality of use},
}

Belongs to TUCS Research Unit(s): Data Mining and Knowledge Management Laboratory

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