| 基于动态相关性挖掘的信息融合方法 |
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| 引用本文： | 徐凌宇,张德干,赵海.基于动态相关性挖掘的信息融合方法[J].电子学报,2002,30(2):292-294. |
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| 作者姓名： | 徐凌宇 张德干 赵海 |
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| 作者单位： | 东北大学信息科学与工程学院,辽宁沈阳 110006 |
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| 基金项目： | 国家自然科学基金 (No .698730 0 7) |
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| 摘 要： | 本文方法通过学习诸多信源在一定时间段内的变化过程,挖掘出那些与结论相关的信源及与结论相关时间片段.形成最终的决策树模式.该方法适用于大规模多因素动态隐含相关性信息融合.
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| 关 键 词： | 信息融合 示例学习 决策树 挖掘 动态相关 |
| 文章编号： | 0372-2112(2002)02-0292-03 |
| 收稿时间： | 2001-02-19 |
A Method of Data Fusion Based on Dynamic Association Mining |
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| XU Ling Yu,ZHANG De Gan,ZHAO Hai.A Method of Data Fusion Based on Dynamic Association Mining[J].Acta Electronica Sinica,2002,30(2):292-294. |
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| Authors: | XU Ling Yu ZHANG De Gan ZHAO Hai |
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| Institution: | School of Information Science and Engineering,Northeastern University,Shenyang,Liaoning 110006,China |
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| Abstract: | The relative sources and the time period can be defined by learning all features changes in a period.The set of examples is groups of time series of source data.A decision tree is constructed by the information gain.After the coherence estimation,the same as time series,the irrelative sources are washed out and relative sources are selected to be applied for fusion.The method fit the large scale fusion of dynamic hidden. |
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| Keywords: | data fusion learning from examples decision tree mining dynamic association |
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