| 基于“物理—事理—人理”的多源异构大数据融合探究 |
| |
| 引用本文： | 李爱华,续维佳,石勇.基于“物理—事理—人理”的多源异构大数据融合探究[J].中国科学院院刊,2023,38(8):1225-1233. |
| |
| 作者姓名： | 李爱华 续维佳 石勇 |
| |
| 作者单位： | 中央财经大学 管理科学与工程学院 北京 100081;中国科学院大学 经济与管理学院 北京 100190;中国科学院虚拟经济与数据科学研究中心 北京 100190;中国科学院大数据挖掘与知识管理重点实验室 北京 100190 |
| |
| 基金项目： | 国家自然科学基金重点项目（71932008、72231010） |
| |
| 摘 要： | 多源异构大数据时代下，大数据呈现出交叉性、多元性、变化性等新特征，更广泛领域的应用对数据融合产生新需求，在此背景下数据融合的内涵得到丰富和扩展。广义的数据融合包含对数据资源的融合、模型方法的融合及决策者知识和经验的融合。文章分析了多源异构数据融合在数据层、信息层和决策层 3个不同融合层次的特点，探讨了数据融合在存储、使用、分析技术、数据管理及价值确定方面可能面临的挑战，并提出了相应的对策建议，为企业、政府等各类主体高效管理数据资源，进行更深入的数据融合分析提供参考。
|
| 关 键 词： | 多源异构 物理—事理—人理（WSR） 数据融合 大数据 |
| 收稿时间： | 2023/6/25 0:00:00 |
Research on multi-source heterogeneous big data fusion based on WSR |
| |
| LI Aihu,XU Weiji,SHI Yong.Research on multi-source heterogeneous big data fusion based on WSR[J].Bulletin of the Chinese Academy of Sciences,2023,38(8):1225-1233. |
| |
| Authors: | LI Aihu XU Weiji SHI Yong |
| |
| Institution: | School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China; School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China;CAS Research Center on Fictitious Economy and Data Science, Beijing 100190, China;Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, China |
| |
| Abstract: | In the era of multi-source heterogeneous big data, big data presents new features such as cross, diversity and variability. The applications of big data in a wider range of fields have new requirements for data fusion. Under this background, the connotation of data fusion is enriched and expanded. The generalized data fusion includes the fusion of data resources, the fusion of model methods, and the fusion of decision-makers'' knowledge and experience. This study analyzes the characteristics of multi-source heterogeneous data fusion at three different fusion levels: data level, information level and decision level, and discusses challenges for data fusion in storage, application and analysis technology, data management as well as value determination. What''s more, corresponding suggestions are putted forward, which benefit for enterprises, government and other entities to effectively manage data resources and provide reference for more in-depth data fusion analysis. |
| |
| Keywords: | multi-source heterogeneous wuli-shili-renli (WSR) data fusion big data |
|
| 点击此处可从《中国科学院院刊》浏览原始摘要信息 |
| 点击此处可从《中国科学院院刊》下载免费的PDF全文 |
|
