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Authors: Jessica Huster ; Michael Spenke and Gerrit Bury

Affiliation: Fraunhofer-Institute for Applied Information Technology FIT, Germany

Keyword(s): Data mining, association analysis, ontology-based knowledge flow system.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Ontologies and the Semantic Web ; Sensor Networks ; Signal Processing ; Society, e-Business and e-Government ; Soft Computing ; Verification and Validation of Knowledge-Based Systems ; Web Information Systems and Technologies

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.

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Paper citation in several formats:
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 6: ICEIS; ISBN 978-989-8111-37-1; ISSN 2184-4992, SciTePress, pages 500-503. DOI: 10.5220/0001701105000503

@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 6: ICEIS},
year={2008},
pages={500-503},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001701105000503},
isbn={978-989-8111-37-1},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS
TI - EXPLORATIVE ASSOCIATION MINING - Cross-sector Knowledge for the European Home Textile Industry
SN - 978-989-8111-37-1
IS - 2184-4992
AU - Huster, J.
AU - Spenke, M.
AU - Bury, G.
PY - 2008
SP - 500
EP - 503
DO - 10.5220/0001701105000503
PB - SciTePress

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