Credit Card Fraud Detection Using LSTM Algorithm
Wasit Journal of Computer and Mathematics Science, 2022 With the rapid growth of consumer credit and the huge amount of financial data developing effective credit scoring models is very crucial. Researchers have developed complex credit scoring models using statistical and artificial intelligence (AI ...
Yanash Azwin Mohmad
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Credit scoring in banks and financial institutions via data mining techniques: A literature review [PDF]
Journal of Artificial Intelligence and Data Mining, 2013 This paper presents a comprehensive review of the works done, during the 2000–2012, in the application of data mining techniques in Credit scoring. Yet there isn’t any literature in the field of data mining applications in credit scoring.
Seyed Mahdi sadatrasoul +3 more
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Which Curve Fits Best: Fitting ROC Curve Models to Empirical Credit-Scoring Data
Risks, 2022 In the practice of credit-risk management, the models for receiver operating characteristic (ROC) curves are helpful in describing the shape of an ROC curve, estimating the discriminatory power of a scorecard, and generating ROC curves without underlying
Błażej Kochański
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Equipping entrepreneurs: consuming credit and credit scores [PDF]
Consumption Markets & Culture, 2013 On-line products that make an individual's credit score an object of consumption and equip credit consumers with the capacity to improve their score are shown to exemplify two sets of dynamic tendencies to change in mass market consumer credit. First, as credit consumers are differentiated, sorted and targeted by lenders according to credit scores ...
openaire +2 more sources
Modelling customers credit card behaviour using bidirectional LSTM neural networks
Journal of Big Data, 2021 With the rapid growth of consumer credit and the huge amount of financial data developing effective credit scoring models is very crucial. Researchers have developed complex credit scoring models using statistical and artificial intelligence (AI ...
Maher Ala’raj +2 more
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About psychological variables in application scoring models [PDF]
RAE: Revista de Administração de Empresas, 2015 The purpose of this study is to investigate the contribution of psychological variables and scales suggested by Economic Psychology in predicting individuals’ default.
Pablo Rogers +2 more
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Development of Credit Scoring Model to Determine the Creditworthiness of Borrowers
JISR on Computing, 2014 The explosive growth of data in banking sector is common phenomena. It is due to early adaptation of information system by Banks. This vast volume of historical data related to financial position of individuals and organizations compel banks to evaluate
Amjad Ali, Muhammad Rafi
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Credit scoring:basic theory and applications
大数据, 2017 Credit scoring is the foundation of market transactions all over the world.Big data analysis based credit scoring plays an immeasurable role in global economics.In the 13th Five-Year Plan of China,it has been proposed as strategic developmental goal to ...
Yong SHI, Fan MENG
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A Comparison between Logit Model and Classification Regression Trees (CART) in Customer Credit Scoring Systems [PDF]
پژوهشهای اقتصادی, 2008 With the continuous development and changes in the credit industry, credit products play a more important role in the economy. This has led institutions to expand the role of technology in their credit management processes.
gholam reza . Keshavarz Haddad +1 more
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Bank Client Credit Scoring, Along With Loan Parameters Optimization Using the Simulation-Optimization Model [PDF]
Mathematics and Modeling in FinanceThis study assesses a new simulation-optimization method for credit scoring and bank loan parameter optimization. The proposed approach encompasses data preparation, credit scoring, and simulation-optimization stages. Initially, data regarding bank loans
Amir Khorrami +2 more
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