摘要
从数据挖掘和数据仓库的基本概念入手 ,简要介绍了数据挖掘和数据仓库的特点和其研究的现实意义。然后介绍了模糊理论 ,由于模糊理论贴近于人们的自然思维习惯 ,所以 ,可把它应用到数据挖掘中 ,这样更加有利于解决现实问题 ,更好地在数据仓库中实现信息的挖掘。并且 ,以一个商品查询系统为例 ,对基于模糊理论的数据仓库中数据挖掘的算法给出了其实现方法。结果证明这是可行的 ,并具有一定的现实意义。
Firstly, the basic concepts of data mining (DM) and data warehouse are presented, and their characteristics and current significance are introduced. Then the fuzzy theory is provided. Because of meeting usual thinking model,it is applied to the DM.In this way,it is helpful to solve problems in reality,and to achieve data mining of data warehouse. Finally, an instance of commodity inquiring system is used to the data mining algorithm based on the fuzzy theory.The result proves the feasibility and current significance of the algorithm.
出处
《山东建筑工程学院学报》
2003年第1期68-70,共3页
Journal of Shandong Institute of Architecture and Engineering
