为有效挖掘海量、动态的滑坡监测数据中的有用信息及规律，提出了一种利用Oracle触发器监测数据的挖掘方法。以八字门滑坡为研究对象，结合ARIMA模型对累积位移进行预测，利用触发器精炼监测数据和优化模型参数，提升预测模型的拟合精度。实验结果表明，该方法能有效改良传统静态数据挖掘结果，有助于人们认识到动态数据挖掘在滑坡灾害监测中的价值。
Abstract
To efficiently excavate the knowledge from substantial and dynamic landslide monitoring data,we put forward a data mining approach using oracle trigger to monitor data. In order to improve the fitting precision of forecasting model,the time series model ARIMA (Autoregressive Integrated Moving Average Model) was employed to forecast the accumulative displacement and the Oracle trigger was used to refine the monitoring data and optimize the model parameter. Bazimen landslide was taken as a case study. The results indicate that the method improves the mining result of traditional static data and helps people to realize the value of dynamic data in landslide prevention.
关键词
动态数据挖掘 /
滑坡监测 /
Oracle触发器 /
ARIMA
Key words
dynamic data mining /
landslide monitoring /
Oracle trigger /
ARIMA
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参考文献
［1］ 殷跃平.汶川八级地震滑坡特征分析［J］.工程地质学报，2008，17(1)：29-38.(YIN Yue-ping. Features of Landslides Triggered by the Wenchuan Earthquake［J］. Journal of Engineering Geology,2008,17(1): 29-38.(in Chinese))
［2］ 马水山，王志旺，张 漫.滑坡监测资料的因子分析［J］ .岩石力学与工程学报，2002，21(7)：1003-1006.(MA Shui-shan,WANG Zhi-wang,ZHANG Man. Factor Analysis on Monitoring Data of Landslide［J］. Chinese Journal of Rock Mechanics and Engineering,2002,21(7):1003-1006.(in Chinese))
［3］ 张 军.数据挖掘在滑坡位移及敏感性分析中的应用研究［D］.武汉：武汉大学，2005.(ZHANG Jun. Application of Data Mining to Analyzing Landslide Displacement and Sensitivity［D］. Wuhan: Wuhan University,2005.(in Chinese))
［4］ 殷坤龙，陈丽霞，张桂荣.区域滑坡灾害预测预警与风险评价［J］.地学前缘，2007，(6):85-97.(YIN Kun-long,CHEN Li-xia,ZHANG Gui-rou. Regional Landslide Hazard Prediction and Risk Assessment［J］. Earth Science Frontier,2007,(6): 85-97.(in Chinese))
［5］ WANG H B,LIU G J,XU W Y,et al. GIS-Based Landslide Hazard Assessment: An Overview［J］. Progress in Physical Geography,2005,29(4): 548-567.
［6］ NEFESLIOGLU H A,SEZER E,GOKCEOGLU C,et al. Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul,Turkey［J］. Mathematical Problems in Engineering,doi:10.1155/2010/901095.
［7］ 蒋 征，张正禄.滑坡变形的模式识别［J］.武汉大学学报(信息科学版)，2002，(2):127-132.(JIANG Zheng,ZHANG Zheng-lu. Model Recognition of Landslide Deformation［J］. Journal of Wuhan University (Information Science Edition),2002,(2): 127-132.(in Chinese))
［8］ 滕明鑫，熊忠阳，张玉芳.动态数据挖掘研究［J］. 计算机应用，2008,28(增1)，160-162.(TENG Ming-xin,XIONG Zhong-yang,ZHANG Yu-fang. Research on Dynamic Data Mining［J］. Journal of Computer Applications,2008,28(Sup.1): 160-162.(in Chinese))
［9］ 李贵斌.ARIMA模型差分阶估计方法的比较［J］.应用概率统计，1994，(4)：353-362.(LI Gui-bing. Estimation of Parameters in ARIMA Models［J］. Acta Mathematicae Applicatae Sinica,1994,(4): 353-362.(in Chinese))
［10］GREENWALD R,STACKOWIAK R,DODGE G,et al. Professional Oracle Programming［M］. US: Wiley Publishing,Inc..
［11］邬少飞，韦司滢.动态工作流中利用触发器监控信息与数据流［J］.计算机工程与设计，2007，28(23):5765-5766.(WU Shao-fei,WEI Si-ying. Monitoring Data Flows and Information Using Triggers in Dynamic Workflow［J］. Computer Engineering and Design,2007,28(23): 5765-5766.(in Chinese))
基金
国家973计划资助项目（2011CB710601）;国家863计划资助项目(2012AA121303)；国土资源部重大科学研究项目（SXKY3-3-2）
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