用关联规则对青海省检验质量控制数据库进行知识挖掘

数据挖掘(DataMining)就是从大型数据库或数据仓库中发现人们感兴趣的知识,这些知识是隐含的,事先未知的潜在有价值的知识及信息.大型数据库中关联规则的发现是近期数据库中知识发现(KDD)的一个很重要的问题,由于决策人员或用户往往需要的是一种高层次概念上的关联关系,因而本文就在数据库中关联规则的数据挖掘进行了初步的尝试,并提出其基本的泛化处理过程,和基本数据挖掘思想和处理过程.主要介绍了数据挖掘的基本概念1、对数据类型的泛化处理.2、提取高层次关联规则的方法.及知识发现的基本要素等理论知识.

Using the Incidence Rules to Date Mining of Qinghai Provincial Inspected in Quality Control

Date Mining is interesting knowledge which comes from the large date base or date warehouse.The knowledge implicated and unknown the knowledge and information may be latent tremendous possibilities.The discovery of incidence rules in the large date base is the most importance problem of knowledge discovery datebase(KDD) in the recently.Owing to the decision makers and consumers always need an incidence relation on the high-level conception,the date mining of incidence rules in the date base has been tested and indicated the basic processing procedure of generalization and date mining.The study introduced the basic conceptions of date mining:1.the process procedure of generalization of date types;2.the extraction method of high-level incidence roles.It also introduced the basic factor of knowledge discovery.According to Qinghai Provincial Inspected in quality control for the date mining,we have gotten above some interesting results.