Application of Data Mining Technology in Economic Statistics

Yao Chen

Application of Big Data, Blockchain, and Internet of Things for Education Informatization. First EAI International Conference, BigIoT-EDU 2021, Virtual Event, August 1–3, 2021, Proceedings, Part II

Research Article

Application of Data Mining Technology in Economic Statistics

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-030-87903-7_54,
    author={Yao Chen},
    title={Application of Data Mining Technology in Economic Statistics},
    proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. First EAI International Conference, BigIoT-EDU 2021, Virtual Event, August 1--3, 2021, Proceedings, Part II},
    proceedings_a={BIGIOT-EDU PT2},
    year={2021},
    month={10},
    keywords={Equipment support Audit information Data mining Quick recommendation},
    doi={10.1007/978-3-030-87903-7_54}
}

Yao Chen
Year: 2021
Application of Data Mining Technology in Economic Statistics
BIGIOT-EDU PT2
Springer
DOI: 10.1007/978-3-030-87903-7_54

Yao Chen¹

1: Yunnan Technology and Business University

Abstract

At present, the domestic social and economic development is constantly improving, and during this period, there are many economic data reflect the uncertainty. Relevant departments make a classification of these data by means of statistical calculation, and then make a summary of the economic development in a period of time, so as to plan the next economic activities. However, in the unified calculation of these data, we must use a reasonable trial method, and the current unified calculation method has certain uncertainty, unable to get accurate results. If the data mining technology is used reasonably, the above problems will be solved. This paper discusses the application of data mining technology in economic statistics.

Keywords: Equipment support Audit information Data mining Quick recommendation

Published: 2021-10-18
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-87903-7_54