Big Data for Credit Risk Analysis: Efficient Machine Learning Models Using PySpark
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-40055-1_14
Reference10 articles.
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3. Óskarsdóttir, M., Bravo, C., Sarraute, C., Vanthienen, J., Baesens, B.: The value of big data for credit scoring: enhancing financial inclusion using mobile phone data and social network analytics. Appl. Soft Comput. J. 74, 26–39 (2019)
4. Pedro, J.S., Proserpio, D., Oliver, N.: Mobiscore: towards universal credit scoring from mobile phone data. In: Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9146, pp. 195–207 (2015)
5. Bjrkegren, D., Grissen, D.: Behavior revealed in mobile phone usage predicts credit repayment (2017). arXiv. arXiv
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