This research project was a step forward in developing an efficient data mining method for estimating the service life of metallic components in Queensland school buildings. The developed method links together the different data sources of service life information and builds the model for a real situation when the users have information on limited inputs only. A practical lifetime prediction system was developed for the industry partners of this project including Queensland Department of Public Works and Queensland Department of Main Roads. The system provides high accuracy in practice where not all inputs are available for querying to the system.
Identifer | oai:union.ndltd.org:ADTP/265762 |
Date | January 2008 |
Creators | Ge, Esther |
Publisher | Queensland University of Technology |
Source Sets | Australiasian Digital Theses Program |
Detected Language | English |
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