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基于Hadoop分布式文件系统的电网用户行为分析平台研究

State Grid User Behavior Analysis Based on Hadoop Distributed File System
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摘要 针对电网运营数据体量大、挖掘数据价值高问题,通过开发并实施用户行为分析平台,采用对基础数据的抽取、清洗、关联、转换等方法,进行用户行为的数据挖掘,从运行、用户、时间和网络等维度分析系统相关模块和流程等使用情况,反映企业运转存在的问题,进一步优化电网生产运行与经营管理,助力电网生产运行稳健发展。 With the constantly improving level o{ state grid information technology, the data has the feature o{ l^rge amounl, and high value which has the increasing needs of value of these data mining, this paper develops and implements the user be havior analyzes platform to excavate the user behavior data based on data drawing, cleaning, relating and switching. The data analysis platform reflects the problems in business operations from running, users and other dimensions of time and network a nalysis to optimize the grid operation and management.
出处 《河北电力技术》 2016年第A01期50-53,共4页 Hebei Electric Power
关键词 大数据 HADOOP 用户行为分析 large data Hadoop user behavior analysis
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