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The world-wide deployment of GIS in urban underground pipeline network (UPN) has led to a rapid growth in the amount of information. To improve the management and gather useful knowledge from the UPN's database more effectively, we integrate the UPN GIS system with data mining technology. In this paper, we study the spatial characteristics of UPN, analyze the basis of data warehouse-based data mining and propose a practical data mining model for UPN. The model performs data integration and data mining and acquires useful knowledge effectively, making the GIS system intelligent and capable of assisting decision-making.