In this paper, we present an approach of the Web application (as a service) for data mining oriented to the multidimensional data visualization. The stress is put on visualization methods as a tool for the visual presentation of large-scale multidimensional data sets. The proposed implementation includes five visualization methods: MDS SMACOF algorithm, Relative MDS, Diagonal majorization algorithm, Relational perspective map, SAMANN. A cluster for parallel computation is used by Web service for the visual data mining. The service is of free access to the user community for data visualization. © 2011 Springer-Verlag.
CITATION STYLE
Dzemyda, G., Marcinkevičius, V., & Medvedev, V. (2011). Large-scale multidimensional data visualization: A web service for data mining. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6994 LNCS, pp. 14–25). https://doi.org/10.1007/978-3-642-24755-2_2
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