基于数据挖掘的知识获取与发现

Acquirement of Knowledge on Data Mining

利用数据挖掘技术，提出一种从局部模式向全局模式进行数据融合的模型，并对 局部模式的数据挖掘进行了探讨，提出基于事实的物理维度和基于事实数据信息的两种不同 出发点的分类聚类模型与算法，并对两者作出了比较，结果是在实际应用中均能较好地解决 问题，能起到辅助决策的功能。

The paper takes forward a kind of model for syncretizing data from l ocal pattern to global pattern, by using rough aggregate theory, discusses data mining in local pattern, taking forward two models and algorithms, one is based on the dimensions of fact ,the other is based on the data information,and the differences are compared. Both of them can resolve decisive question.