Visualization of Similarities and Dissimilarities Between Rules Using Multidimensional Scaling

Authors:
Shusaku Tsumoto;Shoji Hirano
Affiliations:
Department of Medical Informatics, Shimane University, School of Medicine, Enya-cho Izumo City, Shimane 693-8501, Japan;Department of Medical Informatics, Shimane University, School of Medicine, Enya-cho Izumo City, Shimane 693-8501, Japan
Venue:
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Year:
2007

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Abstract

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.