EXPLORATIVE ASSOCIATION MINING - Cross-sector Knowledge for the European Home Textile Industry

Jessica Huster, Michael Spenke, Gerrit Bury

Abstract

The European home-textile industry lacks cross-sector knowledge and knowledge about its end consumers. Click and ordering data reflect the consuming behaviour as well as the preferences and their changes. They are therefore an important trend indicator, which is not harnessed up to now by this industry sector. In this paper, we report on the solution of the Trend Analyser association mining component that helps designers and product developers to better understand their end consumers. Our component uses explorative data mining to perform a market basket analysis and identify interesting associations. Such associations can help decision makers to understand and study the consuming behaviour and identify early changes in their preferences in order to perform a better production planning.

References

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Paper Citation


in Harvard Style

Huster J., Spenke M. and Bury G. (2008). EXPLORATIVE ASSOCIATION MINING - Cross-sector Knowledge for the European Home Textile Industry . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-37-1, pages 500-503. DOI: 10.5220/0001701105000503


in Bibtex Style

@conference{iceis08,
author={Jessica Huster and Michael Spenke and Gerrit Bury},
title={EXPLORATIVE ASSOCIATION MINING - Cross-sector Knowledge for the European Home Textile Industry},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2008},
pages={500-503},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001701105000503},
isbn={978-989-8111-37-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - EXPLORATIVE ASSOCIATION MINING - Cross-sector Knowledge for the European Home Textile Industry
SN - 978-989-8111-37-1
AU - Huster J.
AU - Spenke M.
AU - Bury G.
PY - 2008
SP - 500
EP - 503
DO - 10.5220/0001701105000503