A Method of Data Fusion Based on Dynamic Association Mining

XU Ling-Yu; ZHANG De-Gan; ZHAO Hai

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A Method of Data Fusion Based on Dynamic Association Mining

更新时间：2025-07-16

- A Method of Data Fusion Based on Dynamic Association Mining
- Acta Electronica Sinica Vol. 30, Issue 2, Pages: 292-294(2002)
- 作者机构：
  
  东北大学信息科学与工程学院,辽宁,沈阳,110006
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Published：2002
- 稿件说明：
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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.
DOI：

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. DOI：

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.

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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