摘要
针对应用系统数据集成过程中产生异常数据的问题,介绍数据集成的概念以及异常数据造成的危害,提出基于反向约束传播的异常数据检测方法,并详细阐述检测原理。构建反向约束传播检测原型,通过仿真实验验证该方法可以对数据集成流程中的异常数据进行检测和回收,提高数据集成的质量。
In view of the application system data integration process resulting in abnormal data,the article introduces the concept of data integration and harm caused by abnormal data,proposes the abnormal data detection method based on reverse restraint spreading,and expounds the detection principle.The article also establishes the reverse restraint detection prototype,and verifies through emulation experiment that the proposed method can effectively detect and collect abnormal data in data integration,thus enhancing the quality of data integration.
关键词
异常数据
数据集成
反向约束传播
abnormal data
data integration
reverse restraint spreading
