Large-scale multidimensional data visualization: a web service for data mining

Authors:
Gintautas Dzemyda;Virginijus Marcinkevicius;Viktor Medvedev
Affiliations:
Vilnius University, Institute of Mathematics and Informatics, Vilnius, Lithuania;Vilnius University, Institute of Mathematics and Informatics, Vilnius, Lithuania;Vilnius University, Institute of Mathematics and Informatics, Vilnius, Lithuania
Venue:
ServiceWave'11 Proceedings of the 4th European conference on Towards a service-based internet
Year:
2011

Citing 10
Cited 1

Sammon's mapping using neural networks: a comparison

Pattern Recognition Letters - special issue on pattern recognition in practice V
Visualization of a set of parameters characterized by their correlation matrix

Computational Statistics & Data Analysis
Self-Organizing Maps

Self-Organizing Maps
Visualization of high-dimensional data with relational perspective map

Information Visualization
Steerable, Progressive Multidimensional Scaling

INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Nonmetric multidimensional scaling: Neural networks versus traditional techniques

Intelligent Data Analysis
Dimension Reduction and Data Visualization Using Neural Networks

Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Topology Preservation Measures in the Visualization of Manifold-Type Multidimensional Data

Informatica
Large-Scale Data Analysis Using Heuristic Methods

Informatica
Artificial neural networks for feature extraction and multivariate data projection

IEEE Transactions on Neural Networks

Data and knowledge visualization with virtual reality spaces, neural networks and rough sets: Application to cancer and geophysical prospecting data

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.