Research on Spatial Large Data Mining Technology Based on Network Optimization

被引:0
|
作者
Liu Yuxuan [1 ]
Yan Guanghui [1 ]
Ye Jianyun [1 ]
Li Zongren [1 ]
机构
[1] Lanzhou Jiaotong Univ, Lanzhou, Gansu, Peoples R China
关键词
spatial data; data mining; cloud computing;
D O I
10.25236/iwmecs.2019.057
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In the process of long-term network renewal, network construction has become more and more mature, and people rely more and more on network maintenance, rather than network construction. Increasing people are increasingly demanding mobile networks, which requires to take necessary optimization measures to improve the quality of network and the overall level of business. In recent years, many cloud computing platforms make full use of the advantages of distributed and cluster advantages to achieve good mining results by implementing parallel algorithms. In this paper, the current large spatial data mining technology is sorted out, and the direction of technology development is systematically summarized.
引用
收藏
页码:286 / 289
页数:4
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