| A Decision Support System for Construction Projects Based on Standardized Exchanged Documents |
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| 作者姓名： | 马智亮 陆宁 顾卫华 |
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| 作者单位： | Department of Civil Engineering，Tsinghua University，Department of Civil Engineering，University of California |
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| 基金项目： | the National Technological Promotion Program for the 10th-Five-Year Plan of China (No. 2004BA209B04) |
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| 摘 要： | Large amounts of documents are exchanged during the construction phase of projects, which covers the important management information. To utilize the exchanged documents to support decisionmaking of the management staffs, the requirement analysis was carried out based on the interviews to the practitioners. A decision support system called Explyzer+ was developed based on the previous prototype system Explyzer. The latter was enhanced by adding the functions to automate the whole process and the techniques of data mining including decision tree analysis and clustering analysis. A case study for in-depth information analysis was conducted based on the data obtained from a large construction project to demonstrate its feasibility and effectiveness. The system could effectively assist the management staffs to carry out in-depth information analysis for decision-making in construction projects.
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| 关 键 词： | data warehouse on-line analysis processing (OLAP) data mining decision support |
A Decision Support System for Construction Projects Based on Standardized Exchanged Documents |
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| MA Zhiliang,LU Ning,GU Weihua.A Decision Support System for Construction Projects Based on Standardized Exchanged Documents[J].Tsinghua Science and Technology,2008,13(Z1):354-361. |
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| Authors: | MA Zhiliang LU Ning GU Weihua |
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| Institution: | Department of Civil Engineering, Tsinghua University;Department of Civil Engineering, University of California |
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| Abstract: | Large amounts of documents are exchanged during the construction phase of projects, which covers the important management information. To utilize the exchanged documents to support decisionmaking of the management staffs, the requirement analysis was carried out based on the interviews to the practitioners. A decision support system called Explyzer was developed based on the previous prototype system Explyzer. The latter was enhanced by adding the functions to automate the whole process and the techniques of data mining including decision tree analysis and clustering analysis. A case study for in-depth information analysis was conducted based on the data obtained from a large construction project to demonstrate its feasibility and effectiveness. The system could effectively assist the management staffs to carry out in-depth information analysis for decision-making in construction projects. |
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| Keywords: | data warehouse on-line analysis processing (OLAP) data mining decision support |
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