Zohra Ben Said, Fabrice Guillet, Paul Richard


Visual Data Mining (VDM) aims at an easier interpretation of data mining algorithm results through the use of visualization techniques. During the last decade, many techniques of information visualization have been proposed, allowing visualization of multidimensional data. Previously, ((Chi, 2000), (Herman et al., 2000)) attempted to classify VDM techniques . However, these taxonomies do not take into account some innovative techniques based on 3D visualization and virtual environments (VEs). In this paper, we propose an exhaustive survey of recent techniques for VDM. These different techniques are detailed, classified and compared according to the following criteria : graphical encoding, interaction techniques and applications. Moreover, they are presented in tables together with graphical illustrations.


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Paper Citation

in Harvard Style

Ben Said Z., Guillet F. and Richard P. (2010). 3D VISUALIZATION AND VIRTUAL REALITY FOR VISUAL DATA MINING - A Survey . In Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2010) ISBN 978-989-674-027-6, pages 140-145. DOI: 10.5220/0002850801400145

in Bibtex Style

author={Zohra Ben Said and Fabrice Guillet and Paul Richard},
booktitle={Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2010)},

in EndNote Style

JO - Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2010)
SN - 978-989-674-027-6
AU - Ben Said Z.
AU - Guillet F.
AU - Richard P.
PY - 2010
SP - 140
EP - 145
DO - 10.5220/0002850801400145