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Erschienen in:
2007 | OriginalPaper | Buchkapitel
Visualization of Similarities and Dissimilarities Between Rules Using Multidimensional Scaling
verfasst von : Shusaku Tsumoto, Shoji Hirano
Erschienen in: Knowledge-Based Intelligent Information and Engineering Systems
Verlag: Springer Berlin Heidelberg
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This paper proposes a visualization approach to show the similar relations between rules by using multidimensional scaling, which assign a two-dimensional cartesian coordinate to each data point from the information about similiaries between this data and others data. As similarities, we adopt the average and absolute value of the difference of precision and recall. We evaluated this method on two medical data sets, whose experimental results show that knowledge useful for domain experts could be found.