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Proceedings Paper

Metric sensitivity of reciprocal relationship bonds in the knowledge discovery process
Author(s): Belur V. Dasarathy
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Paper Abstract

The concept of reciprocal relationship (RR) bonds, conceived and developed as a tool in the knowledge discovery process, was reported and illustrated at this conference last year. Various distance metrics for measuring the distances in the database multi-dimensional attribute space were reviewed in this context identifying their relationship to the type of the attributes, depending on whether they are continuous valued, integer valued, or symbolic valued or a mix thereof. In this study, we explore the sensitivity of the bonding process to the metrics that are mostly suited to continuous valued attributes only, such as Euclidean, city-block, and chess board, using once again the previously used data set for illustrative purposes. This sensitivity to the metric employed is investigated at various stages of the RR bond delineation process. Results obtained under the different metrics are compared and fused to identify the degree of consensus that in turn can provide a measure of confidence in the results of the knowledge discovery process.

Paper Details

Date Published: 6 April 2000
PDF: 9 pages
Proc. SPIE 4057, Data Mining and Knowledge Discovery: Theory, Tools, and Technology II, (6 April 2000); doi: 10.1117/12.381719
Show Author Affiliations
Belur V. Dasarathy, Dynetics, Inc. (United States)

Published in SPIE Proceedings Vol. 4057:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology II
Belur V. Dasarathy, Editor(s)

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