International Journal of Intelligence Science

International Journal of Intelligence Science

ISSN Print: 2163-0283
ISSN Online: 2163-0356
www.scirp.net/journal/ijis
E-mail: [email protected]
"An Overview of Personal Credit Scoring: Techniques and Future Work"
written by Xiao-Lin Li, Yu Zhong,
published by International Journal of Intelligence Science, Vol.2 No.4A, 2012
has been cited by the following article(s):
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[1] Lazy Learning of Classification Rules for Complex Structure Data
[2] How can Consumers Without Credit History Benefit from the Use of Information Processing and Machine Learning Tools by Financial Institutions?
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[3] Boruta algorithm: An alternative feature selection method in credit scoring model
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[4] L'intelligenza artificiale come nuova frontiera dei diritti fondamentali
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[5] Data Transformation and Wrapper Impact on Machine Learning Algorithms in Credit Evaluation
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[6] PROSPECTS FOR INTRODUCTION OF CREDIT CARDS IN COMMERCIAL BANKS OF THE REPUBLIC OF UZBEKISTAN
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[7] Enhancing Credit Score Predictions with Dynamic Feature Engineering using Deep Learning
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[8] Internet financial credit scoring models based on deep forest and resampling methods
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[9] The impact of feature selection and transformation on machine learning methods in determining the credit scoring
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[10] Performance Assessment of Logistic Regression (LR), Artificial Neural Network (ANN), Fuzzy Inference System (FIS) and Adaptive Neuro-Fuzzy System (ANFIS) in …
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[11] Deep Learning-Based Credit Score Prediction: Hybrid LSTM-GRU Model
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[12] Performance evaluation model of educational centers using artificial neural network: One of the government organizations in the country
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[13] ЎЗБЕКИСТОН РЕСПУБЛИКАСИ ТИЖОРАТ БАНКЛАРИДА ЖИСМОНИЙ ШАХСЛАРНИ КРЕДИТГА ЛАЁҚАТЛИЛИГИНИ БАҲОЛАШНИ ТАКОМИЛЛАШТИРИШ
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[14] CREDIT SCORING METHODS COMPARISON: A REVIEW
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[15] Predicting Probability of Credit Card Default at the Stage of Credit Card Application Using Supervised Machine Learning Approaches
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[16] Comparative Analysis of Data mining Methods to Analyze Personal Loans Using Decision Tree and Naïve Bayes Classifier
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[17] Assessing credit risk of commercial customers using hybrid machine learning algorithms
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[18] Application of credit‐scoring methods in a decision support system of investment for peer‐to‐peer lending
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[19] Modelling Interaction Effects by Using Extended WOE Variables with Applications to Credit Scoring
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[20] Machine Learning applied to credit analysis: a Systematic Literature Review
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[21] A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods
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[22] Credit risk assessment: a comparison of the performances of the linear discriminant analysis and the logistic regression
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[23] WT combined early warning model and applications for loaning platform customers default prediction in smart city
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[24] Credit Card Score Prediction Using Machine Learning
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[25] Peningkatan Performa Algoritma CART dengan Seleksi Fitur Menggunakan ABC untuk Penilaian Kredit
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[26] Data Mining Method for Comparative Analysis of Personal Loans Based on Principal Component Analysis, Naive Bayes and Decision Tree
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[27] 특징 공학을 통한 지능형 기업신용등급 예측 모델의 개선
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[29] Determinación de la aceptación de un producto financiero basado en la gestión de llamadas a clientes potenciales en una campaña vigente usando algoritmos de …
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[30] Évaluation du risque de défaillance de solvabilité des PME: une application du modèle de la régression logistique Assessment of the solvency of SMEs: an …
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[31] 融入社会关系强度的个人信用价值度量模型研究
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[32] Research on Credit Value Measurement Model Incorporating Social Strength
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[33] An exploration of alternative features in micro-finance loan default prediction models
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[34] Online NEAT for Credit Evaluation--a Dynamic Problem with Sequential Data
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[35] Utilizing historical data for corporate credit rating assessment
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[36] Towards Small-Scale Farmers Fair Credit Scoring Technique
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[37] The future of credit scoring modelling using advanced techniques
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[38] The Naïve Associative Classifier With Epsilon Disambiguation
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[39] Análisis de riesgos financieros mediante algoritmos de cómputo inteligente
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[40] CREDIT SCORING MENGGUNAKAN ALGORITMA CLASSIFICATION AND REGRESSION TREE (CART) DAN ARTIFICIAL BEE COLONY
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[41] Évaluation du risque de défaillance de solvabilité des PME: une application du modèle de la régression logistique
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[42] OPTIMASI k-Nearst-Neighbor (k-NN) DENGAN PARTICLE SWARM OPTIMIZATION PADA KLASIFIKASI NASABAH KREDIT
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[43] COMPARISON OF MACHINE LEARNING ALGORITHMS ON CONSUMER CREDIT CLASSIFICATION
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[44] A Metaheuristic Strategy for Feature Selection Problems: Application to Credit Risk Evaluation in Emerging Markets
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[45] Island Model Genetic Algorithm for Feature Selection in Non-Traditional Credit Risk Evaluation
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[46] Modified Average of the Base-Level Models in the Hill-Climbing Bagged Ensemble Selection Algorithm for Credit Scoring
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[47] Application Status and Development Suggestions of Internet Personal Credit Investigation
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[48] Recent Approaches to Drift Effects in Credit Rating Models
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[49] Multivariate time series classification analysis: State-of-the-art and future challenges
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[50] 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 …
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[51] C4. 5 decision tree enhanced with AdaBoost versus multilayer perceptron for credit scoring modeling
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[52] Comparison of the Performances of Classical Models and Artificial Intelligence in Predicting Bank Customers' Credit Status
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[53] Modélisation du risque de solvabilité des PME: une application de la méthode du crédit scoring
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[54] Estimation procedures of using five alternative machine learning methods for predicting credit card default
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[55] Тенденції розвитку ринку споживчого кредитування, як форми діяльності АТ КБ «ПРИВАТБАНК»
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[56] Prediction of default payment of credit card clients using Data Mining Techniques
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[57] Predictive analytics for loan default in banking sector using machine learning techniques
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[58] FUZZY CLUSTERING METHOD AND EVALUATION BASED ON MULTI CRITERIA DECISION MAKING TECHNIQUE
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[59] Credit Scoring Using CART Algorithm and Binary Particle Swarm Optimization.
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[60] Credit Scoring Using Classification and Regression Tree (CART) Algorithm and Binary Particle Swarm Optimization
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[61] An Evaluation of Automated Credit Scoring System for Financial Services in Developing Countries
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[62] Komparasi Metode Evaluasi Pada Credit Scoring Data Mining
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[63] WT Model & Applications in Loan Platform Customer Default Prediction Based on Decision Tree Algorithms
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[64] Inclusion of peer group and individual low-income earners in M-Shwari micro-credit lending: a hidden Markov model approach
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[65] Alternative scoring factors using non-financial data for credit decisions in agricultural microfinance
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[66] Credit scoring for a microcredit data set using the synthetic minority oversampling technique and ensemble classifiers
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[67] Credit decision tool using mobile application data for microfinance in agriculture
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[68] Extreme Learning Machines for Credit Scoring: An Empirical Evaluation
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[69] Machine learning application in online lending risk prediction
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[70] Machine Learning Application in Online Leading Credit Risk Prediction
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[71] Query-Based Versus Tree-Based Classification: Application to Banking Data
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[72] Strojové učení pro credit scoring
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[73] A Hybrid Machine Learning Approach for Credit Scoring Using PCA and Logistic Regression
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[74] A comparison study of computational methods of Kolmogorov–Smirnov statistic in credit scoring
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[76] MODEL PENILAIAN KREDIT MENGGUNAKAN ANALISIS DISKRIMINAN DENGAN VARIABEL BEBAS CAMPURAN BINER DAN KONTINU
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[77] Pengenalan Tulisan Tangan Angka Cina Menggunakan Weighted United Moment Invariant dan Self Organizing Maps
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[78] Credit Scoring Menggunakan Algoritma Classification And Regression Tree (CART)
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[79] Loan decision models for the Jordanian commercial banks
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[80] The Probability of Default Under IFRS 9: Multi-period Estimation and Macroeconomic Forecast
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[81] Acta Univ. Agric. Silvic. Mendelianae Brun. 2017, 65, 759-776
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[82] A Methodology for Calculating Customer Credit Score Based on Customer Lifetime Value Model
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[83] Tiered sampling: An efficient method for approximate counting sparse motifs in massive graph streams
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[84] A credit scoring model based on classifiers consensus system approach
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[85] A New Perspective Over the Risk Assessment in Credit Scoring Analysis Using the Adaptive Reference System
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[86] Global Optimization in Learning with Important Data: an FCA-Based Approach
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[87] A new hybrid ensemble credit scoring model based on classifiers consensus system approach
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[88] Social network analysis for credit risk modeling
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[90] Interval Pattern Concept Lattice as a Classifier Ensemble
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[91] Consumer lending using social media data
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[92] Lazy Learning of Succinct Classification Rules for Complex Structure Data
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[93] Essays on Consumer Credit Card Profitability and Risk
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[94] Economic Adjustment of Default Probabilities
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[95] An Automated Credit Intelligence Learning System
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[96] Modeling corporate customers' credit risk considering the ensemble approaches in multiclass classification: evidence from iranian corporate credits
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[97] Interval Pattern Concept Lattice as a Classifier Ensemble.
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[98] Lazy Learning of Classification Rules for Complex Structure Data.
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[100] A Neural Network Approach for Microfinance Credit Scoring
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[102] Loan Products and Credit Scoring by Commercial Banks (India)
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[105] Fuzzy and Neuro-Symbolic Approaches in Personal Credit Scoring: Assessment of Bank Loan Applicants
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