Application of Data Mining in Value-Added Measurement Services

BU Leping; YANG Guangyi

doi:10.12338/j.issn.2096-9015.2021.0533

Volume 66 Issue 2

Feb. 2022

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BU Leping, YANG Guangyi. Application of Data Mining in Value-Added Measurement Services[J]. Metrology Science and Technology, 2022, 66(2): 38-43. doi: 10.12338/j.issn.2096-9015.2021.0533

Citation:

BU Leping, YANG Guangyi. Application of Data Mining in Value-Added Measurement Services[J]. Metrology Science and Technology, 2022, 66(2): 38-43. doi: 10.12338/j.issn.2096-9015.2021.0533

BU Leping, YANG Guangyi. Application of Data Mining in Value-Added Measurement Services[J]. Metrology Science and Technology, 2022, 66(2): 38-43. doi: 10.12338/j.issn.2096-9015.2021.0533

Citation:

BU Leping, YANG Guangyi. Application of Data Mining in Value-Added Measurement Services[J]. Metrology Science and Technology, 2022, 66(2): 38-43. doi: 10.12338/j.issn.2096-9015.2021.0533

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Application of Data Mining in Value-Added Measurement Services

doi: 10.12338/j.issn.2096-9015.2021.0533

Hunan Institute of Metrology and Test, Changsha 410014, China

Available Online: 2021-12-29
Publish Date: 2022-02-18

Abstract

Abstract

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.
- measurement data,
- value-added services,
- data mining,
- cluster analysis

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References(15)

References

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