Citation:
Li Zhi, Huang Rufu, Huang He. Construction Quality Risk Prediction System Based on Data Mining. Journal of Information Technologyin Civil Engineering and Architecture,
2010, 2(4): 99-104.
2010, 2(4): 99-104.
Construction Quality Risk Prediction System Based on Data Mining
| 1. | Institution of Building Engineering Software, China Academy of Building Research, Beijing 100013, China |
| 2. | The Information and Control Engineering School, Xi'an University of Architecture and Technology, Xi'an 710055, China |
Quality management plays a significant role in construction enterprises management. How to use computer to complete quality management accurately becomes a new hotspot for construction infomationization. This paper analyzed internal and external factors affecting the quality of the project. Combining data mining theory, this paper proposes construction quality risk prediction system. Finally, the feasibility and predicted effect of Weka were described.
| [1] |
Alaa Abdou, John Lewis, Sameera Alzarooni. Modelling Risl for Construction Cost Estimating and Forcasting. Building and Environment, 2007. |
| [2] | |
| [3] |
Quinlan, J. R. C4. 5: Programs for Machine Learning[J]. San Mateo, CA: Morgan IOufinann, 1993. |
| [4] |
Ruggieri S.Efficient C4.5[J].IEEE Transactions on Knowledge and Data Engineering, 2002, 14(2):438-444.doi: 10.1109/69.991727 |
| [5] |
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