Data mining for lifetime prediction of metallic components


Autoria(s): Ge, Esther; Li, Yuefeng; Nayak, Richi; Xu, Yue
Contribuinte(s)

Christen, P

Kennedy, P

Li, J

Simoff, S

Williams, G

Data(s)

01/11/2006

Resumo

The ability to accurately predict the lifetime of building components is crucial to optimizing building design, material selection and scheduling of required maintenance. This paper discusses a number of possible data mining methods that can be applied to do the lifetime prediction of metallic components and how different sources of service life information could be integrated to form the basis of the lifetime prediction model

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/25690/

Publicador

CRC for Construction Innovation

Relação

http://eprints.qut.edu.au/25690/1/25690.pdf

Ge, Esther, Li, Yuefeng, Nayak, Richi, & Xu, Yue (2006) Data mining for lifetime prediction of metallic components. In Christen, P, Kennedy, P, Li, J, Simoff, S, & Williams, G (Eds.) Data Mining and Analytics 2006: Proceedings of the Fifth Australasian Data Mining Conference, 29-30 November 2006, Australia, New South Wales, Sydney.

Direitos

Copyright 2006 Icon.Net Pty Ltd

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Fonte

Faculty of Science and Technology

Palavras-Chave #080704 Information Retrieval and Web Search #Data Mining, Metallic Components #CRC for Construction Innovation #Program B : Sustainable Built Assets #Project 2005-003-B : Learning System for Life Prediction of Infrastructure
Tipo

Conference Paper