| 基于数据挖掘的基坑监测关联性分析及联合预报研究 |
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| 引用本文： | 王玉国,梁新华,檀丁,石星照.基于数据挖掘的基坑监测关联性分析及联合预报研究[J].全球定位系统,2012,37(5):71-75. |
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| 作者姓名： | 王玉国 梁新华 檀丁 石星照 |
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| 作者单位： | 1. 南京市建筑安装工程质量监督站,江苏南京,210007
2. 南京工业大学测绘学院,江苏南京,210009 |
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| 摘 要： | 基坑监测数据量较大，且蕴含大量待发掘的有效信息。而数据挖掘则是从海量，数据信息中探寻内在规律及有效信息的技术。对此，提出将数据挖掘技术应用于基坑监测数据分析中，并利用其进行监测因素关联性研究；在顾及因素关联性基础上，对时间序列法进行改进，提出多因素时间序列法进行监测数据预测，并通过工程实例对此方法进行验证。
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| 关 键 词： | 数据挖掘 基坑监测 关联性 预报 |
Research on Foundation Monitoring Correlation Analysis and Prediction Depending on Multi-Factor based on Data Mining |
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| WANG Yuguo,LIANG Xinhua,TAN Ding,SHI Xingzhao.Research on Foundation Monitoring Correlation Analysis and Prediction Depending on Multi-Factor based on Data Mining[J].Gnss World of China,2012,37(5):71-75. |
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| Authors: | WANG Yuguo LIANG Xinhua TAN Ding SHI Xingzhao |
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| Institution: | 1. Nanjing Construction Installation Quality Supervision Station, Nanjing J iangsu 210007, China; 2. College of Geomatics Engineering Nanjing University of Technology, Nanjing Jiangsu 210009, China) |
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| Abstract: | Foundation monitoring data contains a great number of data. There is plenty of information in the foundation monitoring data, and data mining is an effective tool for knowledge discovery based on relational databases. In this paper, data mining technology is applied in foundation monitoring data processing, and it is used to discovery the relationship of monitoring projects. On the basis of it, time series analysis has been improved. The multifactor time series method is used into forecasting monitoring data. Finally, the practi cal application shows the feasibility and veracity of this approach. |
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| Keywords: | Data mining foundation monitoring correlation forecasting |
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