Abstract
As a kind of data analysis method and technology that finds out the potential information in a great deal of information, data mining has become the social focus. In the process of the information construction of the electric power industry, there is a great deal of historical data and it is urgent to apply the data mining technology to research and develop an analysis decision system to solve the key and prominent problems in the operation management of the power supply enterprises. This essay presents detailed comparison and analysis of the data mining algorithm. Based on the characteristics of the electric power management analysis, it focuses on discussing the clustering analysis algorithm. The electric power data management analysis system based on the data mining technology designed by this essay can process the data of mixed type and get good mining effect. The clustering analysis of the customer data of electric power can obtain good classifications and help to prediction customer’s purchase behaviors.
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Zheng, H., Gao, X. (2013). Management and Analysis Based on Data Mining. In: Yang, Y., Ma, M. (eds) Proceedings of the 2nd International Conference on Green Communications and Networks 2012 (GCN 2012): Volume 2. Lecture Notes in Electrical Engineering, vol 224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35567-7_21
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DOI: https://doi.org/10.1007/978-3-642-35567-7_21
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