Research on Credibility Measurement Method of Data In Big Data

نویسندگان

  • Xiao-Rong Cheng
  • Tian-Qi Li
  • Si-Zu Hou
  • Hui-Lan Zhao
  • Hong-Yu Wang
چکیده

On the basis of analytical theory of credible traditional data, this paper constructs a hierarchical trusted network model of dynamic data analysis by increasing time factor, penalty factor and other weight parameters, which puts the credibility of the analysis of the problem down to the big data combinatorial problems of between the data sources, data source and data dissemination network path. That is, by calculating the credibility between data sources, the credibility of data and data source, the paper dynamically constructs the Big Data networks of the trusted analysis through analytical data calculating the overall credibility of data. The simulation results show that the model can satisfy the requirement of the credibility of Big Data better, and provide the ideas to solve the problem of the credibility measure for prospective research is feasible.

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تاریخ انتشار 2016