思维导向的数据挖掘方法  

Thinking-oriented Data Mining Method

作　　者：陈学昌[1] 

机构地区：[1]北京科技大学经济管理学院,中国北京100083

出　　处：《中国管理信息化》2009年第21期16-19,共4页China Management Informationization

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。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.

关 键 词：思维导向数据挖掘 心智图 概念图 思维路径 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]