Using data mining on building maintenance ‎during the building life cycle

Rabee Reffat, John S. Gero, W Peng

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review


The data generated within the construction industry has become increasingly
overwhelming. Data mining technology presents an opportunity to increase significantly the rate at which the volumes of data generated through the maintenance process can be turned into useful information. This can be done using classification algorithms to discover patterns and correlations within a large volume of data. This paper investigates the potentials of applying data mining techniques on maintenance data of buildings to identify the impediments to better performance of building assets. It demonstrates what sorts of knowledge can be found in maintenance records. The benefits to the construction industry lie in turning passive data in databases into knowledge that can
improve the efficiency of the maintenance process and of future designs that incorporate that maintenance knowledge.
Original languageEnglish
Title of host publicationProceedings of the 38th Australian & New Zealand Architectural Science Association (ANZASCA 2004) Conference
EditorsZbigniew Bromberek
Place of PublicationTasmania, Australia
PublisherSchool of Architecture, University of Tasmania
Publication statusPublished - 2004


  • building maintenance
  • building life cycle and data mining


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