التفاصيل البيبلوغرافية
| العنوان: |
Measuring expected effects of interventions based on decision rules. |
| المؤلفون: |
Greco, Salvatore1 (AUTHOR), Matarazzo, Benedetto1 (AUTHOR), Pappalardo, Nello2 (AUTHOR), Slowinski *, Roman3 (AUTHOR) |
| المصدر: |
Journal of Experimental & Theoretical Artificial Intelligence. Jan-Jun2005, Vol. 17 Issue 1/2, p103-118. 16p. |
| مصطلحات موضوعية: |
*DECISION trees, *DECISION making, *KNOWLEDGE management, *INFORMATION resources, *INFORMATION resources management, *INDUSTRIAL efficiency |
| مستخلص: |
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. 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. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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