Visualization of similarities and dissimilarities in rules using MDS

Shusaku Tsumoto

doi:10.1117/12.667532

18 April 2006 Visualization of similarities and dissimilarities in rules using MDS

Shusaku Tsumoto

Proceedings Volume 6241, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006; 62410X (2006) https://doi.org/10.1117/12.667532
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

This paper proposes a visualization approach to show the similarity relations between rules based on multidimensional scaling (MDS), which assign a two-dimensional cartesian coordinate to each data point from the information about similiaries between this data and others data. First, semantic and synctatic similarities of rules are obtained after rules are induced from a datasets. Then, MDS is applied to each similarity. MDS visualizes the difference between semantic and synctatic simliarites. This method was evaluated on two medical data sets, whose experimental results show that knowledge useful for domain experts could be found.

Citation Download Citation

Shusaku Tsumoto "Visualization of similarities and dissimilarities in rules using MDS", Proc. SPIE 6241, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006, 62410X (18 April 2006); https://doi.org/10.1117/12.667532

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