基于关联规则的质量信息挖掘应用研究

Quality information mining based on the association rule

基于关联规则的数据挖掘原理和方法能够帮助管理者进行有效决策.提出一种具有关联规则分析功能的通用质量管理信息系统框架,其中的关联分析模块能够对质量数据进行深层次挖掘,通过某大型制造企业质量管理信息系统的实施表明,该通用框架能够支持质量管理的持续改进,有效提高质量数据分析的精确性.

The principles and method of data mining based on association rule are helpful for effective decision-making. A new architecture of general quality information system with the function of association rule analysis is introduced in this paper, in which the association analysis module is able to mine quality data in high level. The implementation example of quality information system for a large manufacturing enterprise demonstrates that the general architecture is able to support persistent improvement of quality management and increase the accuracy of quality data analysis.