摘要
营销数据作为电力公司生产过程中的重要数据,因此对营销数据的分析至关重要,针对数据特点,提出使用基于Spark平台的并行FP-Growth算法对营销数据进行建模分析,实现对行业用电的预测分析。平台的设计实现了企业用电的预测分析以及建立了完善的企业信用评价体系,同时可以为企业实现电力行业的营销精益化管理,精准化营销。
Marketing data is an important data in the production process of power companies.Therefore,the analysis of marketing data is very important.According to the characteristics of the data,it is proposed to use the parallel FP-Growth algorithm based on the Spark platform to model and analyze the marketing data to achieve electricity consumption in the industry Predictive analysis.The design of the platform realizes the predictive analysis of enterprise electricity consumption and establishes a perfect enterprise credit evaluation system.At the same time,it can achieve lean management and precise marketing for the power industry.
作者
文琴
夏桂兵
Wen Qin;Xia Gui Bing(School of Computer Sciences,Nejiang Normal University,Neijiang,Sichuan 641100,China;State Grid Sichuan Electric Power Company Bazbong Power Supply Company,Bazhong Sichuan 636000)
出处
《信息通信》
2020年第5期70-72,共3页
Information & Communications
关键词
营销数据
用电预测
大数据技术
marketing data
electricity consumption forecast
big data technology