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Genetic algorithm-based heuristic for feature selection in credit risk assessment · Study

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ArticleGenetic algorithm-based heuristic for feature selection in credit risk assessment

Stjepan Oreški2013

Article2013

Genetic algorithm-based heuristic for feature selection in credit risk assessment

Stjepan Oreški · Goran Oreški

430 citations·0/0 files stored·Expert Systems with Applications

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Financial Distress and Bankruptcy Prediction Metaheuristic Optimization Algorithms Research Evolutionary Algorithms and Applications

Abstract

No abstract was published for this record.

Citations in this library

Stored only when both papers are in the corpus — 430 citations exist upstream.

References

2011Research design and statistical analysis 2010Consumer credit-risk models via machine-learning algorithms 2006Credit scoring with a data mining approach based on support vector machines

Cited by

2020COVID-19 and stock market volatility: An industry level analysis 2020Statistical and machine learning models in credit scoring: A systematic literature survey 2018Information gain directed genetic algorithm wrapper feature selection for credit rating 2019A Bolasso based consistent feature selection enabled random forest classification algorithm: An application to credit risk assessment 2014Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks 2022Operational Research and Artificial Intelligence Methods in Banking 2022Machine learning-driven credit risk: a systemic review 2019Two-stage consumer credit risk modelling using heterogeneous ensemble learning

Details

Year2013

Typearticle

Published2013-09-13

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations430

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

Identifiers

doi10.1016/j.eswa.2013.09.004

openalex_workW2015954856

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