摘要： 给出了一种从采样集合中自动建立认知推理网络的方法，试图解决数据挖掘问题中的知识获取和知识表达的瓶颈。给出了两个算法用于自动处理学习和建立基于认知结构的不确定推理网络。利用一些实验数据进行了计算机实验，并对实验结果进行了分析。然后将该方法与相关工作进行了比较；最后对所做的工作进行了总结并指出了进一步的研究方向。

关键词: 数据挖掘, 不确定推理, 认知结构, 认知推理网络

Abstract: This paper provides an approach to automatically generate the cognitive inference network from a set of specimens, and tries to resolve the bottleneck of knowledge acquisition and knowledge expression in data mining. Two algorithms are given to process the learning and to build the uncertain inference network automatically based on the cognitive structure. A computer experiment is executed, and the result is analyzed. Comparison with related works is made in the end of the paper. It summarizes the idea of the paper and points out the research direction of the next step.

中图分类号: 

• TP311.12