Abstract
Association rules (ARs) emerged in the domain of market basket analysis and provide a convenient and effective way to identify and represent certain dependencies between attributes in a database. In this paper, we demonstrate that they also act as an appropriate aid in the construction and enrichment of entityrelationship (ER) models, structuring tools that provide high-level descriptions of data. In particular, we present different conceptual ideas for semi-automated specialization of ER models based on AR mining.
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De Cock, M., Cornelis, C., Ren, M., Chen, G., E. Kerre, E. Association Rule Based Specialization in ER Models. In: Ruan, D., Chen, G., E. Kerre, E., Wets, G. (eds) Intelligent Data Mining. Studies in Computational Intelligence, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11004011_10
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DOI: https://doi.org/10.1007/11004011_10
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26256-5
Online ISBN: 978-3-540-32407-2
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