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Authors: Olivier Parisot ; Yoanne Didry ; Pierrick Bruneau and Benoît Otjacques

Affiliation: Public Research Centre Gabriel Lippmann and, Luxembourg

Keyword(s): Data Visualization, Decision Tree Induction, Clustering.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; General Data Visualization ; Information and Scientific Visualization ; Visual Analytical Reasoning ; Visual Data Analysis and Knowledge Discovery

Abstract: Decision trees are simple and powerful tools for knowledge extraction and visual analysis. However, when applied to complex datasets available nowadays, they tend to be large and uneasy to visualize. This difficulty can be overcome by clustering the dataset and representing the decision tree of each cluster independently. In order to apply the clustering more efficiently, we propose a method for adapting clustering results with a view to simplifying the decision tree obtained from each cluster. A prototype has been implemented, and the benefits of the proposed method are shown using the results of several experiments performed on the UCI benchmark datasets.

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Paper citation in several formats:
Parisot, O.; Didry, Y.; Bruneau, P. and Otjacques, B. (2014). Data Visualization using Decision Trees and Clustering. In Proceedings of the 5th International Conference on Information Visualization Theory and Applications (VISIGRAPP 2014) - IVAPP; ISBN 978-989-758-005-5; ISSN 2184-4321, SciTePress, pages 80-87. DOI: 10.5220/0004740800800087

@conference{ivapp14,
author={Olivier Parisot. and Yoanne Didry. and Pierrick Bruneau. and Benoît Otjacques.},
title={Data Visualization using Decision Trees and Clustering},
booktitle={Proceedings of the 5th International Conference on Information Visualization Theory and Applications (VISIGRAPP 2014) - IVAPP},
year={2014},
pages={80-87},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004740800800087},
isbn={978-989-758-005-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Information Visualization Theory and Applications (VISIGRAPP 2014) - IVAPP
TI - Data Visualization using Decision Trees and Clustering
SN - 978-989-758-005-5
IS - 2184-4321
AU - Parisot, O.
AU - Didry, Y.
AU - Bruneau, P.
AU - Otjacques, B.
PY - 2014
SP - 80
EP - 87
DO - 10.5220/0004740800800087
PB - SciTePress

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