Stochastic data mining tools for pipe blockage failure prediction-Reference-Cited by-同舟云学术

Stochastic data mining tools for pipe blockage failure prediction

Published:2016-03-21 Issue:4 Volume:14 Page:343-353
ISSN:1573-062X
Container-title:Urban Water Journal
language:en
Short-container-title:Urban Water Journal

Author:

Santos Pedro¹²,Amado Conceição²,Coelho Sérgio T.¹,Leitão João P.¹³

Affiliation:

1. LNEC: National Civil Engineering Laboratory, Avenida do Brasil, Lisboa, Portugal

2. Department of Mathematics and CEMAT, Instituto Superior Técnico, Universidade de Lisboa, Avenida Rovisco Pais, Lisboa, Portugal

3. Eawag: Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland

Funder

Environmental Protection Agency

Water Environment Research Foundation

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/1573062X.2016.1148178

Reference42 articles.

1. Abdel Moteleb, M., 2010. Risk based decision making tools for sewer infrastructure management. Thesis (PhD). University of Cincinnati [Retrieved from: https://etd.ohiolink.edu].

2. Modeling the structural deterioration of urban drainage pipes: the state-of-the-art in statistical methods

3. Bagging predictors

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