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Prediction analysis of risky credit using Data mining classification models
4 references·3 citing·27 second hop
Prediction analysis of risky credit using Data mining classification models (2017)Prediction analysis of risky credit using…A machine learning approach for predicting bank credit worthiness (2016)A machine learning approach f…Predicting the success of bank telemarketing using deep convolutional neural network (2015)Predicting the success of ban…A Data-Driven Approach to Predict Default Risk of Loan for Online Peer-to-Peer (P2P) Lending (2015)A Data-Driven Approach to Pre…A data-driven approach to predict the success of bank telemarketing (2014)A data-driven approach to pre…Credit Risk Model Based on Central Bank Credit Registry Data (2021)Credit Risk Model Based on Ce…Loan Default Forecasting using Data Mining (2020)Loan Default Forecasting usin…Loan Default Prediction Model Improvement through Comprehensive Preprocessing and Features Selection (2019)Loan Default Prediction Model…The Market for "Lemons": Quality Uncertainty and the Market Mechanism (1970)Credit Rationing in Markets with Imperfect Information (1981)Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending (2012)Determinants of defaults on P2P lending platforms in China (2020)How to identify early defaults in online lending: A cost-sensitive multi-layer learning framework (2021)Internet financing credit risk evaluation using multiple structural interacting elastic net feature selection (2021)A framework for marketing management (2000)Decision Support and Business Intelligence Systems (2006)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)A Review on Fairness in Machine Learning (2022)The effects of data quality on machine learning performance on tabular data (2025)Forecasting model of global stock index by stochastic time effective neural network (2009)Machine Learning in Financial Crisis Prediction: A Survey (2011)Towards Repayment Prediction in Peer-to-Peer Social Lending Using Deep Learning (2019)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Credit rating by hybrid machine learning techniques (2009)Review of Machine Learning models for Credit Scoring Analysis (2020)An Efficient Loan Approval Status Prediction Using Machine Learning (2023)A neural network approach for credit risk evaluation (2007)Modeling consumer loan default prediction using ensemble neural networks (2013)Bankruptcy Prediction in Banks by an Ensemble Classifier (2006)Developing Prediction Model of Loan Risk in Banks Using Data Mining (2016)A review of Artificial Intelligence approach for credit risk assessment (2022)Credit scoring with a data mining approach based on support vector machines (2006)Consumer credit-risk models via machine-learning algorithms (2010)Data Science and its Relationship to Big Data and Data-Driven Decision Making (2013)Financial revolution: a systemic analysis of artificial intelligence and machine learning in the banking sector (2023)
this work references cited by second hop

References

  • 2014A data-driven approach to predict the success of bank telemarketing875 cited
  • 2015A Data-Driven Approach to Predict Default Risk of Loan for Online Peer-to-Peer (P2P) Lending78 cited
  • 2016A machine learning approach for predicting bank credit worthiness60 cited
  • 2015Predicting the success of bank telemarketing using deep convolutional neural network33 cited

Cited by

  • 2021Credit Risk Model Based on Central Bank Credit Registry Data32 cited
  • 2020Loan Default Forecasting using Data Mining23 cited
  • 2019Loan Default Prediction Model Improvement through Comprehensive Preprocessing and Features Selection20 cited

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