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Journal of Civil Engineering and Management Volume 14, 2008 - Issue 2
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Original Articles

Utilizing data mining to discover knowledge in construction enterprise performance records

Jen‐Rong Lee Dept of Construction Engineering, National Kaohsiung First University of Science and Technology (NKFUST), University Road, Yuanchau, Kaohsiung, 824, Taiwan E-mail: [email protected]
,
Sung‐Lin Hsueh Dept of Arts and Crafts, Tung Fang Institute of Technology, No. 110. Tung Fang Rd. Hu‐Nei Shang, Kaohsiung Hsien, Taiwan, R.O.C E-mail: [email protected]
&
Hung‐Ping Tseng Dept of Construction Engineering, National Kaohsiung First University of Science and Technology (NKFUST), University Road, Yuanchau, Kaohsiung, 824, Taiwan E-mail: [email protected]
Pages 79-84 | Received 13 Jul 2007, Accepted 10 Apr 2008, Published online: 14 Oct 2010

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Mai Monir Ghazal & Ahmed Hammad. (2022) Application of knowledge discovery in database (KDD) techniques in cost overrun of construction projects. International Journal of Construction Management 22:9, pages 1632-1646.
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Yu-Cheng Lin. (2014) Construction 3D BIM-based knowledge management system: a case study. Journal of Civil Engineering and Management 20:2, pages 186-200.
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Jui-Sheng Chou, Chih-Fong Tsai & Yu-Hsin Lu. (2013) Project dispute prediction by hybrid machine learning techniques. Journal of Civil Engineering and Management 19:4, pages 505-517.
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Artūras Kaklauskas, Alfonsas Daniūnas, Dilanthi Amaratunga, Vilius Urbonas, Irene Lill, Renaldas Gudauskas, Maurizio D‘amato, Vaidotas Trinkūnas & Ieva Jackutė. (2012) Life cycle process model of a market-oriented and student centered higher education. International Journal of Strategic Property Management 16:4, pages 414-430.
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Chung‐Fah Huang & Sung‐Lin Hsueh. (2010) Customer behavior and decision making in the refurbishment industry‐a data mining approach. Journal of Civil Engineering and Management 16:1, pages 75-84.
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Articles from other publishers (11)

G. Deepa, A.J. Niranjana & A.S. Balu. (2023) A hybrid machine learning approach for early cost estimation of pile foundations. Journal of Engineering, Design and Technology.
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Aminu Darda'u Rafindadi, Nasir Shafiq, Idris Othman, Ahmad Ibrahim, M.M. Aliyu, Miljan Mikić & Hamzh Alarifi. (2023) Data mining of the essential causes of different types of fatal construction accidents. Heliyon 9:2, pages e13389.
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M. Rijo George, Madhusudana Rao Nalluri & K. B. Anand. (2022) Application of Ensemble Machine Learning for Construction Safety Risk Assessment. Journal of The Institution of Engineers (India): Series A 103:4, pages 989-1003.
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Mahmoud ElZahed & Mohamed Marzouk. (2022) Smart archiving of energy and petroleum projects utilizing big data analytics. Automation in Construction 133, pages 104005.
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Carla Ghannoum, Mounir Mabsout & Mohamed-Asem Abdul-Malak. (2020) Knowledge Management Systems for Structural Engineering Design in the Era of Emerging Technological Advancements. Knowledge Management Systems for Structural Engineering Design in the Era of Emerging Technological Advancements.
Hang Yan, Nan Yang, Yi Peng & Yitian Ren. (2020) Data mining in the construction industry: Present status, opportunities, and future trends. Automation in Construction 119, pages 103331.
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Hao Wang & Xianhai Meng. (2019) Transformation from IT-based knowledge management into BIM-supported knowledge management: A literature review. Expert Systems with Applications 121, pages 170-187.
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Jyh-Jian Sheu, Ko-Tsung Chu & Sheng-Ming Wang. (2017) The associate impact of individual internal experiences and reference groups on buying behavior: A case study of animations, comics, and games consumers. Telematics and Informatics 34:4, pages 314-325.
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A. Czarnigowska & A. Sobotka. (2013) Time–cost relationship for predicting construction duration. Archives of Civil and Mechanical Engineering 13:4, pages 518-526.
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Gunnar LuckoZane W. MitchellJr.Jr.. (2010) Quantitative Research: Preparation of Incongruous Economic Data Sets for Archival Data Analysis. Journal of Construction Engineering and Management 136:1, pages 49-57.
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Vijaya S. Desai & Sharad Joshi. 2010. Information Systems, Technology and Management. Information Systems, Technology and Management 304 313 .

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