Abstract
Decision rules induced from a data set represent knowledge patterns relating premises and decisions in 'if... , then...' statements. Premise is a conjunction of elementary conditions relative to independent variables and decision is a conclusion relative to dependent variables. Given a set of decision rules induced from a data set, it is useful to estimate possible effects on the dependent variables caused by an intervention on some independent variables. The authors introduce a methodology for quantifying the impact of a strategy of intervention based on a decision rule induced from data. While the usual interestingness measures of decision rules are taking into account only characteristics of universe U where they come from, the measures of efficiency of intervention depend also on characteristics of universe U' where intervention takes place. The authors are considering the intervention on a single independent variable and on a combination of these variables.
Original language | English |
---|---|
Pages (from-to) | 103-118 |
Number of pages | 16 |
Journal | Journal of Experimental & Theoretical Artificial Intelligence |
Volume | 17 |
Issue number | 1-2 |
DOIs | |
Publication status | Published - 2005 |