Data Mining in Landslide Monitoring Based on Multidimensional Modeling
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    Abstract:

    Security monitoring is one of the most important ways to investigate and control landslides and displacement monitoring is the most common way to monitor landslides. The analysis of landslide displacement monitoring data is generally based on flat files. A different approach based on data warehouse is proposed,which analyzes in depth the time series data from landslide displacement monitoring and build a multidimensional model of landslide displacement monitoring using CASE tool Power Designer. By the approach,a multidimensional model is designed and applied in Baishuihe landslide in the Three Gorges Reservoir area. Data mining process is then implemented using the algorithm of Microsoft Time Series in SQL Server 2005 Analysis Services. Results show that the predicted value is approximately in accordance with the measured value and the algorithm is applicable in short-term prediction.

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朱传华,胡光道.基于多维建模的滑坡监测数据挖掘[J].水土保持通报英文版,2010,(4):121-124

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History
  • Received:January 25,2010
  • Revised:March 05,2010
  • Adopted:
  • Online: November 26,2014
  • Published: