Research on Data Organization and Optimization Methods for Deepening Contract Review Application
The manuscript examines the particular benefits and practical implementation of structuring and enhancing data in the analysis of contracts, integrated with advancements in big data. Utilizing a specific case study within this realm, it uncovers how techniques for arranging contract data, such as collection, purification, sorting, and methodical filing, are employed. Moreover, it explores the employment of data enhancement techniques like analytics, extraction, and graphical representation within the context of inspecting contracts. Insights from the study advocate for the pervasive incorporation of these methods to bolster the thoroughness and efficiency of such examinations. Consequently, it endorses the comprehensive adoption of these data structuring and enhancing techniques during contract evaluations to bolster efficiency, precision, and the support of risk evaluation and adherence to regulations.
Authors
- Ying Zhu (ORCID: https://orcid.org/0000-0002-5416-0566)
- Xiawei Cheng (ORCID: https://orcid.org/0000-0003-1833-9937)
- Xiangwu Zhang (ORCID: https://orcid.org/0000-0002-6236-6281)
- Jingyu Chen (ORCID: https://orcid.org/0000-0002-7854-3801)
- Xinyan Wang (ORCID: https://orcid.org/0000-0002-1053-8176)
- Jiacheng Du
Institutions
- State Grid Corporation of China (China) (CN)
- Henan Energy & Chemical Industry Group (China) (CN)
- Shanghai Electric (China) (CN)
Publication Details
- Published
- 2024-12-29
- DOI
- https://doi.org/10.1109/icirdc65564.2024.00074
- Primary Topic
- Medical Research and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00