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Authors: Ibrahim Louhi 1 ; Lydia Boudjeloud-Assala 2 and Thomas Tamisier 3

Affiliations: 1 Université de Lorraine and Luxembourg Institute of Science and Technology, France ; 2 Université de Lorraine, France ; 3 Luxembourg Institute of Science and Technology, Luxembourg

ISBN: 978-989-758-228-8

Keyword(s): Data Stream, Subspace Clustering, Visualization.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; General Data Visualization ; Information and Scientific Visualization ; Interactive Visual Interfaces for Visualization ; Interface and Interaction Techniques for Visualization ; Visual Data Analysis and Knowledge Discovery ; Visual Representation and Interaction

Abstract: In this paper, we propose a visual subspace clustering approach for data streams, allowing the user to visually track data stream behavior. Instead of detecting elements changes, the approach shows visually the variables impact on the stream evolution, by visualizing the subspace clustering at different levels in real time. First we apply a clustering on the variables set to obtain subspaces, each subspace consists of homogenous variables subset. Then we cluster the elements within each subspace. The visualization helps to show the approach originality and its usefulness in data streams processing.

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Paper citation in several formats:
Louhi, I.; Boudjeloud-Assala, L. and Tamisier, T. (2017). Subspace Clustering and Visualization of Data Streams.In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, (VISIGRAPP 2017) ISBN 978-989-758-228-8, pages 259-265. DOI: 10.5220/0006169702590265

@conference{ivapp17,
author={Ibrahim Louhi. and Lydia Boudjeloud{-}Assala. and Thomas Tamisier.},
title={Subspace Clustering and Visualization of Data Streams},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, (VISIGRAPP 2017)},
year={2017},
pages={259-265},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006169702590265},
isbn={978-989-758-228-8},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, (VISIGRAPP 2017)
TI - Subspace Clustering and Visualization of Data Streams
SN - 978-989-758-228-8
AU - Louhi, I.
AU - Boudjeloud-Assala, L.
AU - Tamisier, T.
PY - 2017
SP - 259
EP - 265
DO - 10.5220/0006169702590265

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