基于集成机器学习的开放式政府数据价值测量系统研究与系统设计

Wen-Jieh Yu
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引用次数: 0

摘要

目前,由于数据资产交易信息不对称,加之数据资产在不同应用场景下的价值差异很大,很难充分体现数据资产的价值,因为数据资产是数字经济发展中最重要、最活跃的生产要素,而中国正处于新的历史发展阶段,深入分析资产市场化过程中的数据问题,通过提高对数据资产作用的认识,激活行业内部力量,扩大和强化数据资产,扩大数据资产的有效需求和供给,制定数据资产交易规则,是非常必要的。本文旨在利用近年来数据交易市场带来的快速发展的历史交易信息,在对现有市场评估研究的基础上,采用人工智能系统的前沿方法分析数据资产的特征,设计对数据资产进行价值评估并设计数据资产定价体系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research and System Design of Open Government Data Value Measurement System Based on Integrated Machine Learning
At present, due to the data assets trading information asymmetry, in addition, the value of data assets in different application scenarios is very different, it is difficult to fully reflect the value of data assets, because the data assets is the most important in the digital economy development, the most active factors of production, and China by the new historical stage of development, in-depth analysis of data problems in the process of asset marketization, by improving the understanding of the role of data assets, activate the industry internal power to expand and strengthen the data assets, expand the effective demand and supply of data assets, develop data assets trading rules, is very necessary. This paper aims to use the data trading market in recent years brought by the rapid development of historical transaction information, in the market evaluation of the existing research, using the frontier method of artificial intelligence system to analyze the characteristics of data assets, design to evaluate the value of data assets and design the data asset pricing system.
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来源期刊
Biomedical engineering advances
Biomedical engineering advances Bioengineering, Biomedical Engineering
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