Construction Quality Risk Prediction System Based on Data Mining
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Graphical Abstract
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Abstract
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.
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