| 思维导向的数据挖掘方法 |
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| 引用本文： | 陈学昌.思维导向的数据挖掘方法[J].中国会计电算化,2009(21):16-19. |
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| 作者姓名： | 陈学昌 |
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| 作者单位： | 北京科技大学经济管理学院,中国北京100083 |
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| 摘 要： | 思维导向数据挖掘的对象是管理过程中的历史决策数据。思维导向数据挖掘所依赖的拓扑结构是心智概念图。思维导向数据挖掘分为两个阶段：计算关联主题簇群和计算最频繁思维路径。本文在心智图和概念图的基础上构造了心智概念图，并根据心智概念图提出了思维导向数据挖掘的算法。
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| 关 键 词： | 思维导向数据挖掘 心智图 概念图 思维路径 |
Thinking-oriented Data Mining Method |
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| Authors: | CHEN Xue-chang |
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| Institution: | CHEN Xue-chang ( School of Economics and Management, University of Science and Technology Beijing, Beijing 100083,China) |
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| Abstract: | The object of thinking-oriented data mining is the decision-making data in the management process before. The thinking-oriented data mining relies on the topology which is called the mind-concept map. There are two phases in the thinking-oriented data mining： computing the clusters of related subjects and calculating the most frequent thinking path. In this paper, the mind-concept map is structured based on the mind map and the concept map, and according to the mind-concept map, the thinking-oriented data mining algorithms is put forward. |
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| Keywords: | Thinking-oriented Data Mining Mind Map Concept Map Thinking Path |
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