2020
DOI: 10.1080/1573062x.2020.1748664
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Watermain breaks and data: the intricate relationship between data availability and accuracy of predictions

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Cited by 31 publications
(15 citation statements)
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“…Furthermore, limited or missing variables will not affect overall accuracy. However, heuristic models are rarely optimal since they rely on subjective opinions and fail to capture the potential risks or accurately describe future failure rates (St. Clair & Sinha 2012;Fitchett et al 2020;Snider & McBean 2020).…”
Section: Heuristic Modelsmentioning
confidence: 99%
“…Furthermore, limited or missing variables will not affect overall accuracy. However, heuristic models are rarely optimal since they rely on subjective opinions and fail to capture the potential risks or accurately describe future failure rates (St. Clair & Sinha 2012;Fitchett et al 2020;Snider & McBean 2020).…”
Section: Heuristic Modelsmentioning
confidence: 99%
“…Two machine learning algorithms were selected for the analysis: random forest (RF) and extreme gradient boosting (XGB). These methods were selected because they were demonstrated to be the best‐performing algorithms in similar works that modeled pipeline failures (Chen & Guikema 2020, Snider & McBean 2020). The algorithms are described here (Chen & Guestrin 2016, Hastie et al 2009): RF—an approximately uncorrelated ensemble of classification trees.…”
Section: Case Study: Washington DCmentioning
confidence: 99%
“…McBean 2020). The algorithms are described here(Chen & Guestrin 2016, Hastie et al 2009):• RF-an approximately uncorrelated ensemble of classification trees.…”
mentioning
confidence: 99%
“…It is necessary to test and evaluate the urban water supply pipelines in stages and then implement corresponding renovation measures. At present, the information management about the water supply network is slightly inadequate, and the evaluation of the health condition of the network is still in the development stage [10]. e methods to study the health condition of the water supply network are currently divided into the following: hierarchical analysis, multiple linear regression, fuzzy theory, and other methods to establish models.…”
Section: Related Workmentioning
confidence: 99%