The construction industry has adapted information technology in its processes in terms of computer aided design and drafting, construction documentation and
maintenance. The data generated within the construction industry has become increasingly overwhelming. Data mining is a sophisticated data search capability that uses classification algorithms to discover patterns and correlations within a large volume of data. This paper presents the selection and application of data mining
techniques on maintenance data of buildings. The results of applying such techniques and potential benefits of utilising their results to identify useful patterns of
knowledge and correlations to support decision making of improving the management of building life cycle are presented and discussed
