Estimation of Smart Election System data

  • Park, Hyun-Sook (Department of Broadcasting Engineering at DIMA(Dong-ah Institude of Media and Arts)) ;
  • Hong, You-Sik (Department of Information and Communication Engineering, Sang Ji University)
  • Received : 2018.05.04
  • Accepted : 2018.05.16
  • Published : 2018.06.30


On the internal based search, the big data inference, which is failed in the president's election in the United States of America in 2016, is failed, because the prediction method is used on the base of the searching numerical value of a candidate for the presidency. Also the Flu Trend service is opened by the Google in 2008. But the Google was embarrassed for the fame's failure for the killing flu prediction system in 2011 and the prediction of presidential election in 2016. In this paper, using the virtual vote algorithm for virtual election and data mining method, the election prediction algorithm is proposed and unpacked. And also the WEKA DB is unpacked. Especially in this paper, using the K means algorithm and XEDOS tools, the prediction of election results is unpacked efficiently. Also using the analysis of the WEKA DB, the smart election prediction system is proposed in this paper.


Big data;Data mining;electronic prediction;electronic vote


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