Share Email Print
cover

Proceedings Paper

Visualization of similarities and dissimilarities in rules using MDS
Author(s): Shusaku Tsumoto
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 18 April 2006
PDF: 12 pages
Proc. SPIE 6241, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006, 62410X (18 April 2006); doi: 10.1117/12.667532
Show Author Affiliations
Shusaku Tsumoto, Shimane Univ. (Japan)


Published in SPIE Proceedings Vol. 6241:
Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006
Belur V. Dasarathy, Editor(s)

© SPIE. Terms of Use
Back to Top