基于电力企业技术需求的数据挖掘

2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE) Pub Date : 2019-06-01 DOI:10.1109/ACEEE.2019.8816957

Yu Jing Gong, Qiu Shuang Huang, G. Li, W. Lu, X. Jia

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引用次数: 0

摘要

简要介绍了数据挖掘在电力企业技术要求中的应用以及K-Means算法的流程。给出了一个评价指标的数据。K-Means算法用于聚类分析的数据挖掘。实验结果表明，该算法具有良好的聚类效果，并得到了有效的分析结论。

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Data Mining Based on Technical Demand of Power Enterprises

This paper briefly introduces the application of data mining in the technical requirements of power enterprises and the flow of K-Means algorithm. The data of an evaluation index is given. The K-Means algorithm is used for data mining of clustering analysis. The experimental results show that the algorithm has good clustering effect and the effective analysis conclusion is obtained.

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2019 2nd Asia Conference on Energy and Environment Engineering (ACEEE)

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