Using Data Mining Techniques for Improving Building Life Cycle

Disclaimer The Client makes use of this Report or any information provided by CRC CI in relation to the Consultancy Services at its own risk. CRC CI will not be responsible for the results of any actions taken by the Client or third parties on the basis of the information in this Report or other information provided by CRC CI nor for any errors or omissions that may be contained in this Report. CRC CI expressly disclaims any liability or responsibility to any person in respect of any thing done or omitted to be done by any person in reliance on this Report or any information provided. Figure 6.2 A stacked histogram of correlation between " priority " and " cause-of-repair " .. 1. ABSTRACT The construction industry has adapted the information technology in its processes in terms of computer aided design and drafting, construction documentation and maintenance. Hence, the data generated within the construction industry has become increasingly overwhelming. The growth of many business, government, and scientific databases has begun to far outpace human's ability to interpret and digest this data. This issue becomes critical with the high degree of complexity of work flow is taken into account in the decision making process during the lifetime of a building. Furthermore, past experience often plays an important role in building management. Therefore, applying data analytic techniques to efficiently deal with information at different stages of a building life cycle has great potentials in this regard. Data mining is a sophisticated data search capability that uses classification algorithms to discover patterns and correlations within a large amount of data. This paper presents how and what data mining techniques can be applied on maintenance data of buildings. The paper illustrates the results and shows potential benefits of applying such techniques searching for useful patterns of knowledge and correlations within the existing building maintenance data to support the decision making on future maintenance operations 7 2. INTRODUCTION The construction industry has adapted the information technology in its processes in terms of computer aided design and drafting, construction documentation and maintenance. Hence, the data generated within the construction industry has become increasingly overwhelming. The growth of many business, government, and scientific databases has begun to far outpace human's ability to interpret and digest this data. This issue becomes critical with the high degree of complexity of work flow is taken into account in the …