Comparative analysis of discretization methods in Bayesian networks

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• 作者：Farnaz Nojavan A.^a ; ^b ; ^{farnaz.nojavan@duke.edu} ; Song S. Qian^c ; Craig A. Stow^d
• 关键词：Bayesian networks ; Discretization ; Environmental modeling ; Equal interval ; Equal quantile ; Moment matching
• 刊名：Environmental Modelling & Software
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：87
• 期：Complete
• 页码：64-71
• 全文大小：701 K
• 卷排序：87

文摘

An experiment was designed to evaluate the impact of commonly used discretization methods and number of intervals on the developed Bayesian Networks (BNs). The conditional probability tables, and hence, model predictions and management recommendations differed among models. None of the models did uniformly well in all comparison criteria. It is suggested that discretization be used with caution or be avoided, when possible, and the BN models be modified to accommodate continuous variables. A verification process is recommended that includes evaluating alternative methods to ensure that the conclusions are not an artifact of the discretization approach.