Data Asset Valuation Based on Lorentz Transform and PageRank Algorithm
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    Abstract:

    Data resources are important production materials that make up a digital society, and the evaluation of the value of data resources is an important basis for data transactions, data circulation, and data appreciation. Based on the theoretical basis of the Lorentz transform and PageRank algorithm, firstly, we use the PageRank algorithm to calculate the weight coefficient in the data asset pricing system, and get the initial valuation of the data asset. Then, we use the data asset valuation model of the quality-speed relationship mapping to value the given data asset. The experimental results show that the proposed data asset valuation method is of certain efficiency and market reference utility.

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孙晓璇,赵小明.基于洛伦兹变换和PageRank算法的数据资产估值.计算机系统应用,2020,29(8):205-210

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History
  • Received:February 13,2020
  • Revised:March 13,2020
  • Adopted:
  • Online: July 31,2020
  • Published: August 15,2020
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