ENBIS: European Network for Business and Industrial Statistics

On Applications of the Relative Linkage Disequilibrium

Abstract

Submitted by

SALINI SILVIA

Authors

Ron S. Kenett and Silvia Salini

Affiliation

KPA Ltd., Raanana, Israel and University of Torino, Torino, Italy, email: ron@kpa.co.il, Department of Economics, Business and Statistics. University

Abstract

Abstract
Relative Linkage Disequilibrium (RLD) was originally proposed as an approach to analyse both quantitatively and graphically general two way contingency tables (Kenett 1983). It was later expanded to the Data Mining context to evaluate Association Rules (Kenett and Salini, 2008). RLD can be interpreted graphically using a simplex representation leading to powerful graphical display of association relationships. Moreover the statistical properties of RLD are known so that confirmatory statistical tests of significance or basic confidence intervals can be applied. In this work we present several applications of RLD such as Risk Management, Kansei Engineering, Text mining, web clickstream analysis.

(Some) References

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