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计算机系统应用:2020,29(8):205-210
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基于洛伦兹变换和PageRank算法的数据资产估值
(1.云南机电职业技术学院 工业信息技术系, 昆明 650704;2.云南财经大学 云南省经济社会大数据研究院, 昆明 650221)
Data Asset Valuation Based on Lorentz Transform and PageRank Algorithm
(1.Department of Industrial Information Technology, Yunnan Vocational College of Mechanial & Electrial Technology, Kunming 650704, China;2.Big Data Research Institute of Yunnan Economy and Society, Yunnan University of Finance and Economics, Kunming 650221, China)
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投稿时间:2020-02-13    修订日期:2020-03-13
中文摘要: 数据资源是组成数字社会的重要生产资料, 数据资源价值的评估是数据交易、数据流通和数据升值变现的重要基础. 以洛伦兹变换和PageRank算法为理论基础依据, 首先利用PageRank算法计算其在数据资产参价体系中的权重系数, 进而得到数据资产初始估值. 然后再利用质速关系映射的数据资产估值模型对给定的数据资产进行估值. 实验结果表明, 提出的数据资产估值方法, 具有一定的高效性和市场参照效用.
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.
文章编号:7585     中图分类号:    文献标志码:
基金项目:云南省高校商务智能科技创新团队(42212217010)
引用文本:
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
SUN Xiao-Xuan,ZHAO Xiao-Ming.Data Asset Valuation Based on Lorentz Transform and PageRank Algorithm.COMPUTER SYSTEMS APPLICATIONS,2020,29(8):205-210

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