Application of Data Mining in Value-Added Measurement Services

In activities associated with measurement information management, institutions have accumulated a large amount of data in the process of digitalization of certificates and reports. The data are generally used to verify that calibrated parameters of instruments conform to legal requirements. The potential value of these data is often be ignored. This paper is concerned with mining the potential value of the measurement big data for value-added customer services. Methods of classification analysis, cluster analysis and association analysis are applied in this paper. It shows that data mining is an efficient method for digging measurement big data for social and economic benefits.