Using data mining on building maintenance ‎during the building life cycle

Rabee Reffat; John S. Gero; W Peng

Using data mining on building maintenance ‎during the building life cycle

Rabee Reffat, John S. Gero, W Peng

Department of Architecture and Built Environment

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

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 language	English
Title of host publication	Proceedings of the 38th Australian & New Zealand Architectural Science Association (ANZASCA 2004) Conference
Editors	Zbigniew Bromberek
Place of Publication	Tasmania, Australia
Publisher	School of Architecture, University of Tasmania
Pages	91-97
Publication status	Published - 2004

Keywords

building maintenance
building life cycle and data mining

Access to Document

https://archscience.org/wp-content/uploads/2015/12/ANZAScA04.pdf

Cite this

Reffat, R., Gero, J. S., & Peng , W. (2004). Using data mining on building maintenance ‎during the building life cycle. In Z. Bromberek (Ed.), Proceedings of the 38th Australian & New Zealand Architectural Science Association (ANZASCA 2004) Conference (pp. 91-97). School of Architecture, University of Tasmania. https://archscience.org/wp-content/uploads/2015/12/ANZAScA04.pdf

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title = "Using data mining on building maintenance ‎during the building life cycle",

abstract = "The data generated within the construction industry has become increasinglyoverwhelming. 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 canimprove the efficiency of the maintenance process and of future designs that incorporate that maintenance knowledge.",

keywords = "building maintenance, building life cycle and data mining",

author = "Rabee Reffat and Gero, {John S.} and W Peng",

year = "2004",

language = "English",

pages = "91--97",

editor = "Bromberek, {Zbigniew }",

booktitle = "Proceedings of the 38th Australian & New Zealand Architectural Science Association (ANZASCA 2004) Conference",

publisher = "School of Architecture, University of Tasmania",

}

Reffat, R, Gero, JS & Peng , W 2004, Using data mining on building maintenance ‎during the building life cycle. in Z Bromberek (ed.), Proceedings of the 38th Australian & New Zealand Architectural Science Association (ANZASCA 2004) Conference. School of Architecture, University of Tasmania, Tasmania, Australia, pp. 91-97. <https://archscience.org/wp-content/uploads/2015/12/ANZAScA04.pdf >

Using data mining on building maintenance ‎during the building life cycle. / Reffat, Rabee; Gero, John S.; Peng , W.
Proceedings of the 38th Australian & New Zealand Architectural Science Association (ANZASCA 2004) Conference. ed. / Zbigniew Bromberek. Tasmania, Australia: School of Architecture, University of Tasmania, 2004. p. 91-97.

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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T1 - Using data mining on building maintenance ‎during the building life cycle

AU - Reffat, Rabee

AU - Gero, John S.

AU - Peng , W

PY - 2004

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N2 - The data generated within the construction industry has become increasinglyoverwhelming. 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 canimprove the efficiency of the maintenance process and of future designs that incorporate that maintenance knowledge.

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BT - Proceedings of the 38th Australian & New Zealand Architectural Science Association (ANZASCA 2004) Conference

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Using data mining on building maintenance ‎during the building life cycle

Abstract

Keywords

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