Abstract
Data Mining (DM) works with very computer-intensive methods and uses automated techniques from various fields of data analysis. Getting some results is a (comparatively) fast process, yet, filtering the results in terms of their usefulness and importance is not quite as straightforward. It has been already proposed in the DM literature, to analyse the full X – Y data table, whenever a rule X → Y has been found (Kardaun and Alanko, 1999). Mosaicplots provide analysts with exactly this possibility in a graphical way. Enhanced with standard interactive features they represent a powerful tool to “look at” multidimensional categorical data. It will be shown in this paper, how Association Rules and a variation of Mosaicplots, the so-called Doubledecker plots, fit together, and, how visualization techniques can be used to filter interesting rules.
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© 2002 Springer-Verlag Berlin Heidelberg
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Hofmann, H., Wilhelm, A. (2002). Exploring Association Rules by Interactive Graphics. In: Gaul, W., Ritter, G. (eds) Classification, Automation, and New Media. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55991-4_19
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DOI: https://doi.org/10.1007/978-3-642-55991-4_19
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