scholarly journals Real-time data mining of massive data streams from synoptic sky surveys

2016 ◽  
Vol 59 ◽  
pp. 95-104 ◽  
Author(s):  
S.G. Djorgovski ◽  
M.J. Graham ◽  
C. Donalek ◽  
A.A. Mahabal ◽  
A.J. Drake ◽  
...  
2008 ◽  
Vol 9 (3) ◽  
pp. 344-353 ◽  
Author(s):  
Lior Cohen ◽  
Gil Avrahami-Bakish ◽  
Mark Last ◽  
Abraham Kandel ◽  
Oscar Kipersztok

2014 ◽  
Vol 599-601 ◽  
pp. 1487-1490 ◽  
Author(s):  
Li Kun Zheng ◽  
Kun Feng ◽  
Xiao Qing Xiao ◽  
Wei Qiao Song

This paper mainly discusses the application of the mass real-time data mining technology in equipment safety state evaluation in the power plant and the realization of the equipment comprehensive quantitative assessment and early warning of potential failure by mining analysis and modeling massive amounts of real-time data the power equipment. In addition to the foundational technology introduced in this paper, the technology is also verified by the application case in the power supply side remote diagnosis center of Guangdong electric institute.


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