Accounting Management Data Visualization Technology Based on DCGAN
Big data processing and analysis have become significant challenges in assembling account management. Visualization of data using conventional print hasn't quite fared well; it doesn't offer readability, which means it has not been effective in decision-making. We have integrated DCGAN technology with accounting management data to strengthen the visualization of the data-set. A 6,000-record data-set was put together, cleaned, and standards set. A DCGAN model was trained for 5,000 cycles with optimal generator and discriminator components. This means that, based on the output, the actual information content on the DCGAN images is about 92 % in comparison to classical visualization techniques, with more intuitive and clearer views. These new visualizations enable to back to better understanding of data and supporting of decisions in accounting management. The research unveils the opportunity for DCGAN technology to transform the industry of data visualization in view of improved readability and usability of accounting data for accounting decisions.
Authors
- W. K. Li (ORCID: https://orcid.org/0009-0004-3382-3246)
- Yu Liu (ORCID: https://orcid.org/0000-0002-7478-929X)
Institutions
- Semyung University (KR)
Publication Details
- Published
- 2025-02-21
- DOI
- https://doi.org/10.1109/icicacs65178.2025.10968342
- Primary Topic
- Advanced Decision-Making Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00