Water pipe failure prediction: A machine learning approach enhanced by domain knowledge

Zhang, B Guo, T

Zhang, L Lin, P Wang, Y Zhou, J

Chen, F

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Publisher:: Springer
Publication Type:: Chapter
Citation:: Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent, 2018, pp. 363 - 383
Issue Date:: 2018

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Field	Value	Language
dc.contributor.author	Zhang, B	en_US
dc.contributor.author	Guo, T https://orcid.org/0000-0001-5130-3237	en_US
dc.contributor.author	Zhang, L	en_US
dc.contributor.author	Lin, P	en_US
dc.contributor.author	Wang, Y	en_US
dc.contributor.author	Zhou, J https://orcid.org/0000-0001-6034-644X	en_US
dc.contributor.author	Chen, F https://orcid.org/0000-0003-4971-8729	en_US
dc.date.issued	2018	en_US
dc.identifier.citation	Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent, 2018, pp. 363 - 383	en_US
dc.identifier.isbn	978-3-319-90402-3	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133282
dc.publisher	Springer	en_US
dc.relation.ispartof	Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent	en_US
dc.relation.isbasedon	10.1007/978-3-319-90403-0	en_US
dc.title	Water pipe failure prediction: A machine learning approach enhanced by domain knowledge	en_US
dc.type	Chapter
utslib.location	Switzerland	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0905 Civil Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.place-of-publication	Switzerland	en_US

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