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General Paper

On the suitability of resampling techniques for the class imbalance problem in credit scoring

, &
Pages 1060-1070 | Received 01 Nov 2011, Accepted 01 Aug 2012, Published online: 21 Dec 2017

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Kyoungok Kim. (2021) Noise Avoidance SMOTE in Ensemble Learning for Imbalanced Data. IEEE Access 9, pages 143250-143265.
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Eréndira Rendón, Roberto Alejo, Carlos Castorena, Frank J. Isidro-Ortega & Everardo E. Granda-Gutiérrez. (2020) Data Sampling Methods to Deal With the Big Data Multi-Class Imbalance Problem. Applied Sciences 10:4, pages 1276.
Crossref
Lanlan Huang, Junkai Zhao, Bing Zhu, Hao Chen & Seppe Vanden Broucke. (2020) An Experimental Investigation of Calibration Techniques for Imbalanced Data. IEEE Access 8, pages 127343-127352.
Crossref
Salvatore Carta, Anselmo Ferreira, Diego Reforgiato Recupero, Marco Saia & Roberto Saia. (2020) A combined entropy-based approach for a proactive credit scoring. Engineering Applications of Artificial Intelligence 87, pages 103292.
Crossref
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Leopoldo Soares de Melo Junior, Franco Maria Nardini, Chiara Renso & Jose Antonio Fernandes de Macedo. (2019) An Empirical Comparison of Classification Algorithms for Imbalanced Credit Scoring Datasets. An Empirical Comparison of Classification Algorithms for Imbalanced Credit Scoring Datasets.
Xu Han, Runbang Cui, Yanfei Lan, Yanzhe Kang, Jiang Deng & Ning Jia. (2019) A Gaussian mixture model based combined resampling algorithm for classification of imbalanced credit data sets. International Journal of Machine Learning and Cybernetics 10:12, pages 3687-3699.
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Feng Shen, Run Wang & Yu Shen. (2019) A COST-SENSITIVE LOGISTIC REGRESSION CREDIT SCORING MODEL BASED ON MULTI-OBJECTIVE OPTIMIZATION APPROACH. Technological and Economic Development of Economy 26:2, pages 405-429.
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Crossref
IN Yulita, RR Julviar, A Triwahyuni & T Widiastuti. (2019) Multichannel Electroencephalography-based Emotion Recognition Using Machine Learning. Journal of Physics: Conference Series 1230:1, pages 012008.
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Swati Shilaskar & Ashok Ghatol. (2018) Diagnosis system for imbalanced multi-minority medical dataset. Soft Computing 23:13, pages 4789-4799.
Crossref
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Zhongyi Hu, Raymond Chiong, Ilung Pranata, Yukun Bao & Yuqing Lin. (2019) Malicious web domain identification using online credibility and performance data by considering the class imbalance issue. Industrial Management & Data Systems 119:3, pages 676-696.
Crossref
Monika Papouskova & Petr Hajek. (2019) Two-stage consumer credit risk modelling using heterogeneous ensemble learning. Decision Support Systems 118, pages 33-45.
Crossref
Kao-Yi Shen, Hioshi Sakai & Gwo-Hshiung Tzeng. (2018) Comparing Two Novel Hybrid MRDM Approaches to Consumer Credit Scoring Under Uncertainty and Fuzzy Judgments. International Journal of Fuzzy Systems 21:1, pages 194-212.
Crossref
Poongjin Cho, Woojin Chang & Jae Wook Song. (2019) Application of Instance-Based Entropy Fuzzy Support Vector Machine in Peer-To-Peer Lending Investment Decision. IEEE Access 7, pages 16925-16939.
Crossref
Yoichi Hayashi, Kei Nakajima & Keisuke Nakajima. (2019) A rule extraction approach to explore the upper limit of hemoglobin during anemia treatment in patients with predialysis chronic kidney disease. Informatics in Medicine Unlocked 17, pages 100262.
Crossref
Roberto Saia & Salvatore Carta. 2019. Knowledge Discovery, Knowledge Engineering and Knowledge Management. Knowledge Discovery, Knowledge Engineering and Knowledge Management 125 148 .
Yoichi Hayashi. (2018) Use of a Deep Belief Network for Small High-Level Abstraction Data Sets Using Artificial Intelligence with Rule Extraction. Neural Computation 30:12, pages 3309-3326.
Crossref
Sihem Khemakhem, Fatma Ben Said & Younes Boujelbene. (2018) Credit risk assessment for unbalanced datasets based on data mining, artificial neural network and support vector machines. Journal of Modelling in Management 13:4, pages 932-951.
Crossref
Yoichi Hayashi & Tatsuhiro Oishi. (2018) High Accuracy-priority Rule Extraction for Reconciling Accuracy and Interpretability in Credit Scoring. New Generation Computing 36:4, pages 393-418.
Crossref
Ceylan Onay & Elif Öztürk. (2018) A review of credit scoring research in the age of Big Data. Journal of Financial Regulation and Compliance 26:3, pages 382-405.
Crossref
Hongliang He, Wenyu Zhang & Shuai Zhang. (2018) A novel ensemble method for credit scoring: Adaption of different imbalance ratios. Expert Systems with Applications 98, pages 105-117.
Crossref
Yufei Xia, Chuanzhe Liu, Bowen Da & Fangming Xie. (2018) A novel heterogeneous ensemble credit scoring model based on bstacking approach. Expert Systems with Applications 93, pages 182-199.
Crossref
Min Zhu, Jing Xia, Xiaoqing Jin, Molei Yan, Guolong Cai, Jing Yan & Gangmin Ning. (2018) Class Weights Random Forest Algorithm for Processing Class Imbalanced Medical Data. IEEE Access 6, pages 4641-4652.
Crossref
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Crossref
Roberto Saia & Salvatore Carta. (2017) A fourier spectral pattern analysis to design credit scoring models. A fourier spectral pattern analysis to design credit scoring models.
Jin Xiao, Hanwen Cao, Xiaoyi Jiang, Xin Gu & Ling Xie. (2017) GMDH-based semi-supervised feature selection for customer classification. Knowledge-Based Systems 132, pages 236-248.
Crossref
Yoichi Hayashi. (2017) Synergy effects between grafting and subdivision in Re-RX with J48graft for the diagnosis of thyroid disease. Knowledge-Based Systems 131, pages 170-182.
Crossref
Sebastián Maldonado, Juan Pérez & Cristián Bravo. (2017) Cost-based feature selection for Support Vector Machines: An application in credit scoring. European Journal of Operational Research 261:2, pages 656-665.
Crossref
Haojie Chen, Minghui Jiang & Xue Wang. (2017) Bayesian ensemble assessment for credit scoring. Bayesian ensemble assessment for credit scoring.
Yufei Xia, Chuanzhe Liu & Nana Liu. (2017) Cost-sensitive boosted tree for loan evaluation in peer-to-peer lending. Electronic Commerce Research and Applications 24, pages 30-49.
Crossref
Swati Shilaskar, Ashok Ghatol & Prashant Chatur. (2017) Medical decision support system for extremely imbalanced datasets. Information Sciences 384, pages 205-219.
Crossref
Takamasa Tanaka, Tomohiro Hamaguchi, Takumi Saigo & Kazuhiko Tsuda. (2017) Classifying and Understanding Prospective Customers via Heterogeneity of Supermarket Stores. Procedia Computer Science 112, pages 956-964.
Crossref
Jin Xiao, Xiaoyi Jiang, Changzheng He & Geer Teng. (2016) Churn Prediction in Customer Relationship Management via GMDH-Based Multiple Classifiers Ensemble. IEEE Intelligent Systems 31:2, pages 37-44.
Crossref
Maria Rocha Sousa, João Gama & Elísio Brandão. (2016) A new dynamic modeling framework for credit risk assessment. Expert Systems with Applications 45, pages 341-351.
Crossref
Yoichi Hayashi, Yuki Tanaka, Tomohiro Takagi, Takamichi Saito, Hideaki Iiduka, Hiroaki Kikuchi, Guido Bologna & Sushmita Mitra. (2016) Recursive-Rule Extraction Algorithm With J48graft And Applications To Generating Credit Scores. Journal of Artificial Intelligence and Soft Computing Research 6:1, pages 35-44.
Crossref
Yoichi Hayashi. (2016) Application of a rule extraction algorithm family based on the Re-RX algorithm to financial credit risk assessment from a Pareto optimal perspective. Operations Research Perspectives 3, pages 32-42.
Crossref
Yoichi Hayashi & Kazuhiro Fukunaga. (2016) Accuracy of rule extraction using a recursive-rule extraction algorithm with continuous attributes combined with a sampling selection technique for the diagnosis of liver disease. Informatics in Medicine Unlocked 5, pages 26-38.
Crossref
Yoichi Hayashi & Shonosuke Yukita. (2016) Rule extraction using Recursive-Rule extraction algorithm with J48graft combined with sampling selection techniques for the diagnosis of type 2 diabetes mellitus in the Pima Indian dataset. Informatics in Medicine Unlocked 2, pages 92-104.
Crossref
Roberto Saia & Salvatore Carta. 2016. Research and Practical Issues of Enterprise Information Systems. Research and Practical Issues of Enterprise Information Systems 263 276 .
Everlandio R. Q. Fernandes, Andre C.P.L.F. de Carvalho & Andre L.V. Coelho. (2015) An evolutionary sampling approach for classification with imbalanced data. An evolutionary sampling approach for classification with imbalanced data.
Emma M. Sánchez, Julio B. Clempner & Alexander S. Poznyak. (2015) Solving the mean–variance customer portfolio in Markov chains using iterated quadratic/Lagrange programming: A credit-card customer limits approach. Expert Systems with Applications 42:12, pages 5315-5327.
Crossref
Zongyuan Zhao, Shuxiang Xu, Byeong Ho Kang, Mir Md Jahangir Kabir, Yunling Liu & Rainer Wasinger. (2015) Investigation and improvement of multi-layer perceptron neural networks for credit scoring. Expert Systems with Applications 42:7, pages 3508-3516.
Crossref
Hong Wang, Qingsong Xu & Lifeng Zhou. (2015) Large Unbalanced Credit Scoring Using Lasso-Logistic Regression Ensemble. PLOS ONE 10:2, pages e0117844.
Crossref
Vicente García, Ana I. Marqués & J. Salvador Sánchez. (2014) An insight into the experimental design for credit risk and corporate bankruptcy prediction systems. Journal of Intelligent Information Systems 44:1, pages 159-189.
Crossref
Yoichi Hayashi, Satoshi Nakano & Shota Fujisawa. (2015) Use of the recursive-rule extraction algorithm with continuous attributes to improve diagnostic accuracy in thyroid disease. Informatics in Medicine Unlocked 1, pages 1-8.
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Yoichi Hayashi & Satoshi Nakano. (2015) Use of a Recursive-Rule eXtraction algorithm with J48graft to achieve highly accurate and concise rule extraction from a large breast cancer dataset. Informatics in Medicine Unlocked 1, pages 9-16.
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Jin Xiao, Runzhe Wang, Geer Teng & Yi Hu. (2014) A Transfer Learning Based Classifier Ensemble Model for Customer Credit Scoring. A Transfer Learning Based Classifier Ensemble Model for Customer Credit Scoring.
Vicente García, Ramón A. Mollineda & J. Salvador Sánchez. (2014) A bias correction function for classification performance assessment in two-class imbalanced problems. Knowledge-Based Systems 59, pages 66-74.
Crossref
R. Alejo, V. García, A. I. Marqués, J. S. Sánchez & J. A. Antonio-Velázquez. 2013. Management Intelligent Systems. Management Intelligent Systems 1 8 .

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