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Author: François Poulet

Affiliation: ESIEA Recherche, France

Keyword(s): Visual Data mining, Machine learning, Classification, Artificial Intelligence, Human Computer Interaction, User Needs, Human factors.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; HCI on Enterprise Information Systems ; Health Information Systems ; Human Factors ; Human-Computer Interaction ; Intelligent User Interfaces ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: In this paper, we present our work in a new data mining approach called Visual Data Mining (VDM). This new approach tries to involve the user (being the data expert not a data mining or analysis specialist) more intensively in the data mining process and to increase the part of the visualisation in this process. The visualisation part can be increased with cooperative tools: the visualisation is used as a pre- or post-processing step of usual (automatic) data mining algorithms, or the visualisation tools can be used instead of the usual automatic algorithms. All these topics are addressed in this paper with an evaluation of the algorithms presented and a discussion of the interactive algorithms compared with automatic ones. All this work must be improved in order to allow the data specialists to efficiently use these kinds of algorithms to solve their problems.

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Paper citation in several formats:
Poulet, F. (2004). TOWARDS VISUAL DATA MINING. In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 972-8865-00-7; ISSN 2184-4992, SciTePress, pages 349-356. DOI: 10.5220/0002639703490356

@conference{iceis04,
author={Fran\c{C}ois Poulet.},
title={TOWARDS VISUAL DATA MINING},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2004},
pages={349-356},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002639703490356},
isbn={972-8865-00-7},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - TOWARDS VISUAL DATA MINING
SN - 972-8865-00-7
IS - 2184-4992
AU - Poulet, F.
PY - 2004
SP - 349
EP - 356
DO - 10.5220/0002639703490356
PB - SciTePress

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