Automated credit assessment framework using ETL process and machine learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Software
Link
https://link.springer.com/content/pdf/10.1007/s11334-022-00522-x.pdf
Reference64 articles.
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2. Abiodun OI, Jantan A, Omolara AE, Dada KV, Mohamed NA, Arshad H (2018) State-of-the-art in artificial neural network applications: a survey. Heliyon 4(11):e00938
3. Akkaoui EE, Zimányi E (2009) Defining ETL worfklows using BPMN and BPEL. In: Proceedings of the ACM twelfth international workshop on Data warehousing and OLAP, ACM, pp 41–48
4. Akkaoui ZE, Zimányi E, López JNM, Mondéjar JCT et al (2013) A BPMN-based design and maintenance framework for ETL processes. Int J Data Warehous Min (IJDWM) 9(3):46–72
5. Akkaoui ZE, Zimànyi E, Mazón JN, Trujillo J (2011) A model-driven framework for ETL process development. In: Proceedings of the 14th international workshop on Data Warehousing and OLAP, ACM, pp 45–52
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