Comparative Analysis of Financial Datasets Predictive Modeling Using Feature Extraction Methods
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1682-1_15
Reference13 articles.
1. Al-Qerem A, Al-Naymat G, Alhasan M (2019) Loan default prediction model improvement through comprehensive preprocessing and features selection. In: 2019 international Arab conference on information technology (ACIT). IEEE, pp 235–240
2. Coussement K, Lessmann S, Verstraeten G (2017) A comparative analysis of data preparation algorithms for customer churn prediction: a case study in the telecommunication industry. Decis Support Syst 95:27–36
3. Crouhy M, Galai D, Mark R (2000) A comparative analysis of current credit risk models. J Bank Fin 1–2:59–117
4. Hassan AKI, Abraham A (2013) Modeling consumer loan default prediction using ensemble neural networks. In: 2013 international conference on computing, electrical and electronic engineering (ICCEEE). IEEE, pp 719–724
5. Kumar I, Dogra K, Utreja C, Yadav P (2018) A comparative study of supervised machine learning algorithms for stock market trend prediction. In: 2018 second international conference on inventive communication and computational technologies (ICICCT). IEEE, pp 1003–1007
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