VISUAL DATA MINING TOOLS: QUALITY METRICS DEFINITION AND APPLICATION

Edwige Fangseu Badjio, François Poulet

Abstract

The main purpose of this work is to integrate HCI (Human Computer Interaction) requirements in visual data mining tools engineering. We present the definition of metrics/measurements in order to improve the quality of those tools at all the steps or after the development process. On the basis of these metrics/measurements, we have derived a questionnaire for the evaluation of the utility, the usability and the acceptability of visual data mining environments. A case study enables us to concretely materialize the contribution of the measurements and also to detect and explain (design and usage) errors.

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Paper Citation


in Harvard Style

Fangseu Badjio E. and Poulet F. (2005). VISUAL DATA MINING TOOLS: QUALITY METRICS DEFINITION AND APPLICATION . In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 5: ICEIS, ISBN 972-8865-19-8, pages 98-103. DOI: 10.5220/0002547700980103


in Bibtex Style

@conference{iceis05,
author={Edwige Fangseu Badjio and François Poulet},
title={VISUAL DATA MINING TOOLS: QUALITY METRICS DEFINITION AND APPLICATION},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 5: ICEIS,},
year={2005},
pages={98-103},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002547700980103},
isbn={972-8865-19-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 5: ICEIS,
TI - VISUAL DATA MINING TOOLS: QUALITY METRICS DEFINITION AND APPLICATION
SN - 972-8865-19-8
AU - Fangseu Badjio E.
AU - Poulet F.
PY - 2005
SP - 98
EP - 103
DO - 10.5220/0002547700980103