| Issue |
E3S Web Conf.
Volume 251, 2021
2021 International Conference on Tourism, Economy and Environmental Sustainability (TEES 2021)
|
|
|---|---|---|
| Article Number | 01047 | |
| Number of page(s) | 5 | |
| Section | Analysis of Energy Industry Economy and Consumption Structure Model | |
| DOI | https://doi.org/10.1051/e3sconf/202125101047 | |
| Published online | 15 April 2021 | |
Research on big data enabling governance decision based on consistency model
Human Resources Department, Guangdong University of Finance & Economics, Guangzhou, China
* Corresponding author: 36525380@qq.com
Big data has become a new factor of production in the era of digital governance. Big data has changed the thinking and mode of decision-making, enabled governance decision-making, and created a new paradigm of decision-making. However, in the actual application process, due to the limitations of data availability, time, cost, cognitive and psychological factors, it is often inconsistent with panoramic data. How to judge and solve the inconsistency between the data subset and the data set is the premise of making scientific decision. From the perspective of “consistency”, this paper constructs the basic assumptions of governance decision-making, combs and explains the solution path of consistency between the available data subset and the expected data set, expands the research perspective of measuring data similarity, and deepens the feasibility of data-driven enabling governance decision-making.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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