|
[1]
|
Lazy Learning of Classification Rules for Complex Structure Data
|
|
NULL |
|
|
|
[2]
|
Assessing credit risk of commercial customers using hybrid machine learning algorithms
|
|
Expert Systems with Applications,
2022 |
|
|
|
[3]
|
CREDIT SCORING METHODS COMPARISON: A REVIEW
|
|
Scientific Programme Committee,
2022 |
|
|
|
[4]
|
Predicting Probability of Credit Card Default at the Stage of Credit Card Application Using Supervised Machine Learning Approaches
|
|
2022 |
|
|
|
[5]
|
Comparative Analysis of Data mining Methods to Analyze Personal Loans Using Decision Tree and Naïve Bayes Classifier
|
|
2022 |
|
|
|
[6]
|
특징 공학을 통한 지능형 기업신용등급 예측 모델의 개선
|
|
한국지능정보시스템학회 학술대회논문집,
2021 |
|
|
|
[7]
|
Application of credit‐scoring methods in a decision support system of investment for peer‐to‐peer lending
|
|
International Transactions in …,
2021 |
|
|
|
[8]
|
Modelling Interaction Effects by Using Extended WOE Variables with Applications to Credit Scoring
|
|
Baixauli, JT Rodríguez, A Álvaro-Meca… - Mathematics,
2021 |
|
|
|
[9]
|
Machine Learning applied to credit analysis: a Systematic Literature Review
|
|
2021 16th Iberian …,
2021 |
|
|
|
[10]
|
A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods
|
|
2021 |
|
|
|
[11]
|
Credit risk assessment: a comparison of the performances of the linear discriminant analysis and the logistic regression
|
|
2021 |
|
|
|
[12]
|
WT combined early warning model and applications for loaning platform customers default prediction in smart city
|
|
2021 |
|
|
|
[13]
|
Credit Card Score Prediction Using Machine Learning
|
|
International Journal of Innovative Science and Research Technology,
2021 |
|
|
|
[14]
|
Peningkatan Performa Algoritma CART dengan Seleksi Fitur Menggunakan ABC untuk Penilaian Kredit
|
|
2021 |
|
|
|
[15]
|
Determinación de la aceptación de un producto financiero basado en la gestión de llamadas a clientes potenciales en una campaña vigente usando algoritmos de …
|
|
2020 |
|
|
|
[16]
|
Évaluation du risque de défaillance de solvabilité des PME: une application du modèle de la régression logistique Assessment of the solvency of SMEs: an …
|
|
2020 |
|
|
|
[17]
|
融入社会关系强度的个人信用价值度量模型研究
|
|
2020 |
|
|
|
[18]
|
Research on Credit Value Measurement Model Incorporating Social Strength
|
|
2020 |
|
|
|
[19]
|
An exploration of alternative features in micro-finance loan default prediction models
|
|
2020 |
|
|
|
[20]
|
Online NEAT for Credit Evaluation--a Dynamic Problem with Sequential Data
|
|
2020 |
|
|
|
[21]
|
Utilizing historical data for corporate credit rating assessment
|
|
2020 |
|
|
|
[22]
|
Towards Small-Scale Farmers Fair Credit Scoring Technique
|
|
2020 |
|
|
|
[23]
|
The future of credit scoring modelling using advanced techniques
|
|
2020 |
|
|
|
[24]
|
The Naïve Associative Classifier With Epsilon Disambiguation
|
|
2020 |
|
|
|
[25]
|
Análisis de riesgos financieros mediante algoritmos de cómputo inteligente
|
|
2020 |
|
|
|
[26]
|
CREDIT SCORING MENGGUNAKAN ALGORITMA CLASSIFICATION AND REGRESSION TREE (CART) DAN ARTIFICIAL BEE COLONY
|
|
2020 |
|
|
|
[27]
|
Évaluation du risque de défaillance de solvabilité des PME: une application du modèle de la régression logistique
|
|
2020 |
|
|
|
[28]
|
OPTIMASI k-Nearst-Neighbor (k-NN) DENGAN PARTICLE SWARM OPTIMIZATION PADA KLASIFIKASI NASABAH KREDIT
|
|
2019 |
|
|
|
[29]
|
COMPARISON OF MACHINE LEARNING ALGORITHMS ON CONSUMER CREDIT CLASSIFICATION
|
|
2019 |
|
|
|
[30]
|
A Metaheuristic Strategy for Feature Selection Problems: Application to Credit Risk Evaluation in Emerging Markets
|
|
2019 |
|
|
|
[31]
|
Island Model Genetic Algorithm for Feature Selection in Non-Traditional Credit Risk Evaluation
|
|
2019 |
|
|
|
[32]
|
Modified Average of the Base-Level Models in the Hill-Climbing Bagged Ensemble Selection Algorithm for Credit Scoring
|
|
2019 |
|
|
|
[33]
|
Application Status and Development Suggestions of Internet Personal Credit Investigation
|
|
2019 |
|
|
|
[34]
|
Recent Approaches to Drift Effects in Credit Rating Models
|
|
2019 |
|
|
|
[35]
|
Multivariate time series classification analysis: State-of-the-art and future challenges
|
|
2019 |
|
|
|
[36]
|
Modélisation du risque de solvabilité des PME: une application de la méthode du crédit scoring SME solvency risk modeling: an application of the credit scoring …
|
|
2019 |
|
|
|
[37]
|
C4. 5 decision tree enhanced with AdaBoost versus multilayer perceptron for credit scoring modeling
|
|
2019 |
|
|
|
[38]
|
Comparison of the Performances of Classical Models and Artificial Intelligence in Predicting Bank Customers' Credit Status
|
|
2019 |
|
|
|
[39]
|
Modélisation du risque de solvabilité des PME: une application de la méthode du crédit scoring
|
|
2019 |
|
|
|
[40]
|
Estimation procedures of using five alternative machine learning methods for predicting credit card default
|
|
2019 |
|
|
|
[41]
|
Credit Scoring Using CART Algorithm and Binary Particle Swarm Optimization.
|
|
2018 |
|
|
|
[42]
|
Credit Scoring Using Classification and Regression Tree (CART) Algorithm and Binary Particle Swarm Optimization
|
|
2018 |
|
|
|
[43]
|
An Evaluation of Automated Credit Scoring System for Financial Services in Developing Countries
|
|
2018 |
|
|
|
[44]
|
Komparasi Metode Evaluasi Pada Credit Scoring Data Mining
|
|
2018 |
|
|
|
[45]
|
WT Model & Applications in Loan Platform Customer Default Prediction Based on Decision Tree Algorithms
|
|
Intelligent Computing Theories and Application,
2018 |
|
|
|
[46]
|
Inclusion of peer group and individual low-income earners in M-Shwari micro-credit lending: a hidden Markov model approach
|
|
International Journal of Electronic Finance,
2018 |
|
|
|
[47]
|
Alternative scoring factors using non-financial data for credit decisions in agricultural microfinance
|
|
2018 |
|
|
|
[48]
|
Credit scoring for a microcredit data set using the synthetic minority oversampling technique and ensemble classifiers
|
|
2018 |
|
|
|
[49]
|
Predictive analytics for loan default in banking sector using machine learning techniques
|
|
2018 28th International …,
2018 |
|
|
|
[50]
|
Credit decision tool using mobile application data for microfinance in agriculture
|
|
2017 |
|
|
|
[51]
|
Extreme Learning Machines for Credit Scoring: An Empirical Evaluation
|
|
Expert Systems with Applications,
2017 |
|
|
|
[52]
|
Machine learning application in online lending risk prediction
|
|
2017 |
|
|
|
[53]
|
Machine Learning Application in Online Leading Credit Risk Prediction
|
|
2017 |
|
|
|
[54]
|
Query-Based Versus Tree-Based Classification: Application to Banking Data
|
|
Foundations of Intelligent Systems,
2017 |
|
|
|
[55]
|
Strojové učení pro credit scoring
|
|
2017 |
|
|
|
[56]
|
A Hybrid Machine Learning Approach for Credit Scoring Using PCA and Logistic Regression
|
|
2017 |
|
|
|
[57]
|
A comparison study of computational methods of Kolmogorov–Smirnov statistic in credit scoring
|
|
Communications in Statistics - Simulation and Computation,
2017 |
|
|
|
[58]
|
基于随机森林融合朴素贝叶斯的信用评估模型
|
|
数学的实践与认识,
2017 |
|
|
|
[59]
|
MODEL PENILAIAN KREDIT MENGGUNAKAN ANALISIS DISKRIMINAN DENGAN VARIABEL BEBAS CAMPURAN BINER DAN KONTINU
|
|
2017 |
|
|
|
[60]
|
Pengenalan Tulisan Tangan Angka Cina Menggunakan Weighted United Moment Invariant dan Self Organizing Maps
|
|
2017 |
|
|
|
[61]
|
Credit Scoring Menggunakan Algoritma Classification And Regression Tree (CART)
|
|
2017 |
|
|
|
[62]
|
Loan decision models for the Jordanian commercial banks
|
|
Global Business and Economics Review,
2017 |
|
|
|
[63]
|
The Probability of Default Under IFRS 9: Multi-period Estimation and Macroeconomic Forecast
|
|
2017 |
|
|
|
[64]
|
Acta Univ. Agric. Silvic. Mendelianae Brun. 2017, 65, 759-776
|
|
2017 |
|
|
|
[65]
|
A Methodology for Calculating Customer Credit Score Based on Customer Lifetime Value Model
|
|
2017 |
|
|
|
[66]
|
Tiered sampling: An efficient method for approximate counting sparse motifs in massive graph streams
|
|
2017 |
|
|
|
[67]
|
A credit scoring model based on classifiers consensus system approach
|
|
2016 |
|
|
|
[68]
|
A New Perspective Over the Risk Assessment in Credit Scoring Analysis Using the Adaptive Reference System
|
|
Business Information Systems,
2016 |
|
|
|
[69]
|
Global Optimization in Learning with Important Data: an FCA-Based Approach
|
|
National Research University Higher School of Economics,
2016 |
|
|
|
[70]
|
A new hybrid ensemble credit scoring model based on classifiers consensus system approach
|
|
Expert Systems with Applications,
2016 |
|
|
|
[71]
|
Social network analysis for credit risk modeling
|
|
Thesis,
2016 |
|
|
|
[72]
|
基于 SVM 混合集成的信用风险评估模型
|
|
2016 |
|
|
|
[73]
|
Interval Pattern Concept Lattice as a Classifier Ensemble
|
|
2016 |
|
|
|
[74]
|
Consumer lending using social media data
|
|
International Journal of Scientific Research and Innovative Technology,
2016 |
|
|
|
[75]
|
Lazy Learning of Succinct Classification Rules for Complex Structure Data
|
|
2016 |
|
|
|
[76]
|
Essays on Consumer Credit Card Profitability and Risk
|
|
2016 |
|
|
|
[77]
|
Economic Adjustment of Default Probabilities
|
|
2016 |
|
|
|
[78]
|
An Automated Credit Intelligence Learning System
|
|
2016 |
|
|
|
[79]
|
Modeling corporate customers' credit risk considering the ensemble approaches in multiclass classification: evidence from iranian corporate credits
|
|
2016 |
|
|
|
[80]
|
Interval Pattern Concept Lattice as a Classifier Ensemble.
|
|
2016 |
|
|
|
[81]
|
Credit scoring using ensemble of various classifiers on reduced feature set
|
|
Industrija,
2015 |
|
|
|
[82]
|
A Neural Network Approach for Microfinance Credit Scoring
|
|
Journal of Statistics and Management Systems,
2015 |
|
|
|
[83]
|
美国个人信用体系及对我国的启示
|
|
经济师,
2015 |
|
|
|
[84]
|
Loan Products and Credit Scoring by Commercial Banks (India)
|
|
International Journal of Latest Trends in Finance and Economic Sciences,
2015 |
|
|
|
[85]
|
Fuzzy model Takagi Sugeno with structured evolution for determining consumer credit score
|
|
Information Systems and Technologies (CISTI), 2015 10th Iberian Conference on,
2015 |
|
|
|
[86]
|
Classification System for Mortgage Arrear Management
|
|
NULL
2014 |
|
|
|
[87]
|
Fuzzy and Neuro-Symbolic Approaches in Personal Credit Scoring: Assessment of Bank Loan Applicants
|
|
Innovations in Intelligent Machines-4， Springer,
2014 |
|
|
|
[88]
|
Data Mining Method for Comparative Analysis of Personal Loans Based on Principal Component Analysis, Naive Bayes and Decision Tree
|
|
|
|
|