基于博弈论和拍卖的数据定价综述

张小伟; 江东; 袁野

doi:10.11959/issn.2096-0271.2021039

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基于博弈论和拍卖的数据定价综述

专题：新基建环境下的数据资产价值评估与定价 | 更新时间：2024-06-03

- 基于博弈论和拍卖的数据定价综述
- A survey of game theory and auction-based data pricing
- 大数据 2021年7卷第4期页码：2021039
- 作者机构：
  
  1. 东北大学计算机科学与工程学院，辽宁沈阳 110819
  2. 北京理工大学计算机学院，北京 100081
- 作者简介：
  
  [ "张小伟（1996-），男，东北大学计算机科学与工程学院硕士生，主要研究方向为数据定价" ]
  [ "江东（1996-），男，东北大学计算机科学与工程学院博士生，主要研究方向为GPU加速图计算、数据定价" ]
  [ "袁野（1981-），男，北京理工大学计算机学院教授、博士生导师，主要研究方向为大数据管理与分析（包括图数据管理、众包数据管理、不确定数据管理、数据隐私保护等）。优秀青年科学基金获得者。曾获中国电子学会科学技术奖（自然科学）一等奖、全国百篇优秀博士学位论文提名奖、中国计算机学会优秀博士学位论文奖、辽宁省优秀博士学位论文奖。中国计算机学会数据库专业委员会委员、大数据专家委员会委员，中国计算机学会高级会员，IEEE、ACM高级会员。在ACM SIGMOD、VLDB、ICDE、KDD、SIGIR、IJICAI、VLDB Journal等重要学术会议和期刊上发表论文90余篇，其中CCFA类40余篇。先后承担和参加国家自然科学基金重点项目和优秀青年科学基金项目、国家重点研发计划、863计划、973计划等多项重点项目。常年担任多个国际数据库会议（共同/出版/宣传/本地）主席/程序委员会委员，包括SIGMOD、VLDB、ICDE等CCF A类会议" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(60933001);国家自然科学基金资助项目;The National Natural Science Foundation of China(61932004);国家自然科学基金资助项目;The National Natural Science Foundation of China(62002054);国家自然科学基金资助项目;The National Natural Science Foundation of China(61732003);国家自然科学基金资助项目;The National Natural Science Foundation of China(61729201);中央高校基本科研基金资助项目;The Fundamental Research Funds for the Central Universities(N181605012)
- DOI：10.11959/issn.2096-0271.2021039
  中图分类号： TP311
- 网络首发：2021-07，
  
  纸质出版：2021-07-15
- 稿件说明：
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张小伟, 江东, 袁野. 基于博弈论和拍卖的数据定价综述[J]. 大数据, 2021,7(4):2021039.

Xiaowei ZHANG, Dong JIANG, Ye YUAN. A survey of game theory and auction-based data pricing[J]. Big data research, 2021, 7(4): 2021039.
张小伟, 江东, 袁野. 基于博弈论和拍卖的数据定价综述[J]. 大数据, 2021,7(4):2021039. DOI： 10.11959/issn.2096-0271.2021039.

Xiaowei ZHANG, Dong JIANG, Ye YUAN. A survey of game theory and auction-based data pricing[J]. Big data research, 2021, 7(4): 2021039. DOI： 10.11959/issn.2096-0271.2021039.

摘要

在大数据时代，随着数据爆炸式的增长，将数据视为一种商品，建立一个高效的数据交易市场，通过数据交易市场为数据拥有者提供利益补偿，为数据需求者提供数据或服务，使得数据能够在数据拥有者和数据需求者之间充分地自由流动显得尤为重要。然而如何为数据设定合理的价格是必须考虑的。对基于博弈论和拍卖的数据定价进行了研究，调查了该分类下不同的数据定价模型，并将其分为不同的类型，综合比较各个模型的优劣。将常见的数据交易市场进行分类，指出不同的数据交易框架在实现过程中的优点和挑战。对已有的数据定价研究进行总结，以便数据定价领域的学者能更轻松地掌握该领域的研究现状及重点。

Abstract

In the era of big data

with the explosive growth of data

regarding data as a commodity and establishing an efficient data trading market is a important thing.By data trading’s way

profit compensation is provided for data owners

and raw data or services are provided for data consumers

so that data can flow fully freely between data owners and data consumers.However

how to set a reasonable price for the data is necessary.Data pricing based on game theory and auctions was investigated.Different data pricing models under this category were investigated.These models were divided into different types

and the advantages and disadvantages of each model were compared comprehensively.Then

common data trading markets were classified

and the advantages and challenges of different data transaction frameworks in the implementation process were pointed out.A summary of existing data pricing research was made

so that scholars in the field of data pricing can more easily grasp the current research status and the key of data pricing.

关键词

Keywords

references

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