Re-mining association mining results through visualization, data envelopment analysis, and decision trees
Ertek, Gürdal and Tunç, Murat Mustafa (2012) Re-mining association mining results through visualization, data envelopment analysis, and decision trees. In: Kahraman, Cengiz, (ed.) Computational Intelligence Systems in Industrial Engineering. Atlantis Computational Intelligence Systems; 6. Atlantis Press/Springer, Germany, pp. 601-622. ISBN 978-94-91216-76-3
Re-mining is a general framework which suggests the execution of additional data mining steps based on the results of an original data mining process. This study investigates the multi-faceted re-mining of association mining results, develops and presents a practical methodology, and shows the applicability of the developed methodology through real world data. The methodology suggests re-mining using data visualization, data envelopment analysis, and decision trees. Six hypotheses, regarding how re-mining can be carried out on association mining results, are answered in the case study through empirical analysis.
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