A Structural Pattern Mining Approach for Credit Risk Assessment

Lecture Notes in Computer Science - Hybrid Artificial Intelligent Systems ◽

10.1007/978-3-319-19644-2_7 ◽

2015 ◽

pp. 73-84

Author(s):

Bernardete Ribeiro ◽

Ning Chen ◽

Alexander Kovačec

Keyword(s):

Risk Assessment ◽

Credit Risk ◽

Pattern Mining ◽

Structural Pattern ◽

Credit Risk Assessment

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Financial Inclusion as a Fairness Criterion in Credit Risk Assessment

SSRN Electronic Journal ◽

10.2139/ssrn.3579695 ◽

2020 ◽

Author(s):

Tarunima Prabhakar ◽

Steven Weber

Keyword(s):

Risk Assessment ◽

Credit Risk ◽

Financial Inclusion ◽

Credit Risk Assessment

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Research and Design of Credit Risk Assessment System Based on Big Data and Machine Learning

2021 IEEE 6th International Conference on Big Data Analytics (ICBDA) ◽

10.1109/icbda51983.2021.9403128 ◽

2021 ◽

Author(s):

Song Wen ◽

Bi Zeng ◽

Wenxiong Liao ◽

Pengfei Wei ◽

Zhihao Pan

Keyword(s):

Machine Learning ◽

Risk Assessment ◽

Big Data ◽

Credit Risk ◽

Assessment System ◽

Credit Risk Assessment ◽

Research And Design

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Enterprise Credit Risk Assessment Using Feature Selection Approach and Ensemble Learning Technique

2020 16th International Conference on Computational Intelligence and Security (CIS) ◽

10.1109/cis52066.2020.00056 ◽

2020 ◽

Author(s):

Di Wang ◽

Zuoquan Zhang

Keyword(s):

Risk Assessment ◽

Feature Selection ◽

Credit Risk ◽

Ensemble Learning ◽

Credit Risk Assessment ◽

Enterprise Credit ◽

Selection Approach ◽

Learning Technique ◽

Feature Selection Approach

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A Two-Stage Dynamic Credit Risk Assessment System

Proceedings of the 2020 4th International Conference on Deep Learning Technologies (ICDLT) ◽

10.1145/3417188.3417193 ◽

2020 ◽

Author(s):

Rui Li ◽

Shizhe Deng ◽

Jianquan Zhang ◽

Hao He ◽

Yaohui Jin ◽

...

Keyword(s):

Risk Assessment ◽

Credit Risk ◽

Assessment System ◽

Two Stage ◽

Credit Risk Assessment

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A random thinning model with a latent factor for improvement of top-down credit risk assessment

JSIAM Letters ◽

10.14495/jsiaml.8.37 ◽

2016 ◽

Vol 8 (0) ◽

pp. 37-40 ◽

Author(s):

Suguru Yamanaka ◽

Hidetoshi Nakagawa ◽

Masaaki Sugihara

Keyword(s):

Risk Assessment ◽

Credit Risk ◽

Top Down ◽

Latent Factor ◽

Credit Risk Assessment ◽

Random Thinning

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Hybrid system with genetic algorithm and artificial neural networks and its application to retail credit risk assessment

Expert Systems with Applications ◽

10.1016/j.eswa.2012.05.023 ◽

2012 ◽

Vol 39 (16) ◽

pp. 12605-12617 ◽

Author(s):

Stjepan Oreski ◽

Dijana Oreski ◽

Goran Oreski

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Risk Assessment ◽

Artificial Neural Networks ◽

Credit Risk ◽

Hybrid System ◽

Credit Risk Assessment ◽

Retail Credit ◽

Artificial Neural

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Quantitative credit risk assessment using support vector machines: Broad versus Narrow default definitions

Expert Systems with Applications ◽

10.1016/j.eswa.2013.01.044 ◽

2013 ◽

Vol 40 (11) ◽

pp. 4404-4413 ◽

Author(s):

Terry Harris

Keyword(s):

Risk Assessment ◽

Support Vector Machines ◽

Credit Risk ◽

Support Vector ◽

Credit Risk Assessment ◽

Vector Machines

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Credit risk assessment of small and medium-sized enterprises in supply chain finance based on SVM and BP neural network

Neural Computing and Applications ◽

10.1007/s00521-021-06682-4 ◽

2022 ◽

Author(s):

Jingfeng Zhao ◽

Bo Li

Keyword(s):

Neural Network ◽

Risk Assessment ◽

Supply Chain ◽

Credit Risk ◽

Bp Neural Network ◽

Credit Risk Assessment ◽

Supply Chain Finance

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Mining Cross Features for Financial Credit Risk Assessment

10.1145/3459637.3482371 ◽

2021 ◽

Author(s):

Qiang Liu ◽

Zhaocheng Liu ◽

Haoli Zhang ◽

Yuntian Chen ◽

Jun Zhu

Keyword(s):

Risk Assessment ◽

Credit Risk ◽

Credit Risk Assessment ◽

Financial Credit

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An artificial neural network-based ensemble model for credit risk assessment and deployment as a graphical user interface

International Journal of Data Mining Modelling and Management ◽

10.1504/ijdmmm.2017.085643 ◽

2017 ◽

Vol 9 (2) ◽

pp. 122

Author(s):

Biplab Bhattacharjee ◽

Amulyashree Sridhar ◽

Muhammad Shafi

Keyword(s):

Neural Network ◽

Risk Assessment ◽

Artificial Neural Network ◽

User Interface ◽

Credit Risk ◽

Graphical User Interface ◽

Ensemble Model ◽

Credit Risk Assessment ◽

Artificial Neural

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