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Details van artikel 7 van 11 gevonden artikelen
| Titel: |
Measuring expected effects of interventions based on decision rules |
| Auteur: |
Greco, Salvatore Matarazzo, Benedetto Pappalardo, Nello Slowinski, Roman |
| Verschenen in: |
Journal of experimental & theoretical artificial intelligence |
| Paginering: | Jaargang 17 (2005) nr. 1-2 pagina's 103-118 |
| Jaar: |
2005-01 |
| Inhoud: |
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. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 7 van 11 gevonden artikelen
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