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Management and Analysis Based on Data Mining

机译:基于数据挖掘的管理与分析

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摘要

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.
机译:作为一种在大量信息中找到潜在信息的数据分析方法和技术,数据挖掘已成为社会关注的焦点。在电力行业信息化建设过程中,有大量的历史数据,迫切需要运用数据挖掘技术来研究开发分析决策系统,以解决运营管理中的关键和突出问题。供电企业。本文对数据挖掘算法进行了详细的比较和分析。根据电力管理分析的特点,重点讨论了聚类分析算法。本文设计的基于数据挖掘技术的电力数据管理分析系统,可以对混合类型的数据进行处理,取得良好的挖掘效果。电力客户数据的聚类分析可以得到良好的分类,有助于预测客户的购买行为。

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