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ArticleEnsemble classification based on supervised clustering for credit scoring

Hongshan Xiao2016

Article2016

Ensemble classification based on supervised clustering for credit scoring

Hongshan Xiao · Zhi Xiao · Yu Wang

160 citations·0/0 files stored·Applied Soft Computing

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Financial Distress and Bankruptcy Prediction Machine Learning and Data Classification Imbalanced Data Classification Techniques

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References

1997Statistical Classification Methods in Consumer Credit Scoring: A Review 2003Credit rating analysis with support vector machines and neural networks: a market comparative study 2005A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines 2005Building credit scoring models using genetic programming 1996A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk 2014Credit scoring using the clustered support vector machine 2011Two credit scoring models based on dual strategy ensemble trees 2006Predicting corporate financial distress based on integration of support vector machine and logistic regression

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2016A new hybrid ensemble credit scoring model based on classifiers consensus system approach 2020A Comparative Performance Assessment of Ensemble Learning for Credit Scoring 2021Credit scoring based on tree-enhanced gradient boosting decision trees 2020A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees 2018

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2021A multi-level classification and modified PSO clustering based ensemble approach for credit scoringarticle · 9 shared references 2015Enhancing accuracy and interpretability of ensemble strategies in credit risk assessment. A correlated-adjusted decision forest proposalarticle · 8 shared references 2016Classification methods applied to credit scoring: Systematic review and overall comparisonreview · 6 shared references 2016A comparative study on base classifiers in ensemble methods for credit scoringarticle · 5 shared references 2020A novel tree-based dynamic heterogeneous ensemble method for credit scoringarticle · 5 shared references 2018An artificial intelligence system for predicting customer default in e-commercearticle · 5 shared references

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Year2016

Typearticle

Published2016-02-28

VenueApplied Soft Computing

ISSN-L1568-4946

Languageen

Citations160

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/j.asoc.2016.02.022

openalex_workW2278519563

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Dynamic ensemble classification for credit scoring using soft probability

2020A novel tree-based dynamic heterogeneous ensemble method for credit scoring

2020Multi-view ensemble learning based on distance-to-model and adaptive clustering for imbalanced credit risk assessment in P2P lending

2020Step-wise multi-grained augmented gradient boosting decision trees for credit scoring