Abstract
The rural economy is restricted by many factors. It is necessary to integrate data analysis technology and dig into comprehensive evaluation indicators that meet the level of rural development. In this way, we can make accurate judgments on rural development and put forward constructive opinions on development. Based on the statistical data of the Statistical Yearbook from 2009 to 2018, this paper takes the new urbanization pilot city Ningbo as the research object and uses MATLAB software for data analysis. Through the analytic hierarchy process and entropy method to calculate the comprehensive weight value, this paper constructs a three-level index comprehensive evaluation system, and calculates the comprehensive evaluation score. The study found that as the years change, the level of rural development in Ningbo has shown an upward trend. At the same time, this paper calculates and compares the scores of the primary and secondary indicators, and puts forward suggestions for rural development after analyzing the reasons.
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Xu, M. (2021). Comprehensive Evaluation of Rural Development Level Based on Data Mining. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1282. Springer, Cham. https://doi.org/10.1007/978-3-030-62743-0_93
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DOI: https://doi.org/10.1007/978-3-030-62743-0_93
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