Published June 23, 2016 | Version v1
Publication

A Sensitivity Analysis for Quality Measures of Quantitative Association Rules

Description

There exist several fitness function proposals based on a combination of weighted objectives to optimize the discovery of association rules. Nevertheless, some differences in the measures used to assess the quality of association rules could be obtained according to the values of such weights. Therefore, in such proposals it is very important the user's decision in order to specify the weights or coefficients of the optimized objectives. Thus, this work presents an analysis on the sensitivity of several quality measures when the weights included in the fitness function of the existing QARGA algorithm are modified. Finally, a comparative analysis of the results obtained according to the weights setup is provided.

Abstract

MICYT TIN2011-28956-C02-00

Abstract

Junta de Andalucía P11-TIC-7528

Additional details

Created:
March 27, 2023
Modified:
November 29, 2023