Application Analysis of Data Mining in Power Enterprise

被引:0
作者
Jian, Tang [1 ]
机构
[1] Chengdu Univ Technol, Dept Management, Engn & Tech Coll, Leshan City, Sichuan, Peoples R China
来源
PROCEEDINGS OF THE 2015 2ND INTERNATIONAL FORUM ON ELECTRICAL ENGINEERING AND AUTOMATION (IFEEA 2015) | 2016年 / 54卷
关键词
power enterprise; data mining; big data;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the progress of the society and the development of information and communication technology, information system is rapidly expanding in various industries and fields. There are more and more data that these systems collect, process, and accumulate, and the growth rate of data volume is larger and larger, and even using "mass, explosive growth" and other words cannot describe the growth rate of data. Data mining is the technology that excavates information with potential value from vast amounts of data. This information is likely to have potential value, to support decision making, so as to bring benefit for the enterprise, or seek the breach for scientific research. Using the data mining technology with powerful functions can make manufacturing power companies convert data into useful information to help decision-making, so as to gain dominant position in the market competition. The paper briefly introduces the concept and methods of data mining, and analyzes the application and the prospect of data mining in the power enterprise.
引用
收藏
页码:206 / 209
页数:4
相关论文
共 4 条
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Chen Xingying, 2007, J ELECT POWER SCI TE
[2]  
Guo Xiaoling, 2010, VALUE ENG
[3]  
Niu Chenglin, 2010, THEORETICAL RES APPL
[4]  
Ruan Wenfeng, 2008, GUANGDONG ELECT POWE