Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The research area of the cloud-based auto-scaling analytics is investigated as a more efficient method of improving financial risk prediction systems, especially with respect to bankruptcy and charge-off prediction. The study incorporates machine learning approaches combined with cloud computing to investigate how scalability, on-demand processing, and resource adaptation contribute to more efficient financial risk evaluation. These results show that by providing improved decision-making, optimized use of computational resources, and proactive risk management, these technologies may improve the work of financial institutions
"Auto-Scalable Cloud Analytics for Financial Risk Assessment: Enhancing Bankruptcy and Charge-off Prediction Systems", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 4, page no.120-125, April-2022, Available :http://www.ijrti.org/papers/IJRTI2204021.pdf
Downloads:
000348
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator