Articlediamond2016

Developing Prediction Model of Loan Risk in Banks Using Data Mining

Aboobyda Jafar Hamid · Tarig Mohammed Ahmed

101 citations0/0 files storedMachine Learning and Applications An International Journal

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Financial Distress and Bankruptcy Prediction Data Mining and Machine Learning Applications Customer churn and segmentation

Abstract

Nowadays, There are many risks related to bank loans, for the bank and for those who get the loans.The analysis of risk in bank loans need understanding what is the meaning of risk.In addition, the number of transactions in banking sector is rapidly growing and huge data volumes are available which represent the customers behavior and the risks around loan are increased.Data Mining is one of the most motivating and vital area of research with the aim of extracting information from tremendous amount of accumulated data sets.In this paper a new model for classifying loan risk in banking sector by using data mining.The model has been built using data form banking sector to predict the status of loans.Three algorithms have been used to build the proposed model: j48, bayesNet and naiveBayes.By using Weka application, the model has been implemented and tested.The results has been discussed and a full comparison between algorithms was conducted.J48 was selected as best algorithm based on accuracy.

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2000Borrower Risk and the Price and Nonprice Terms of Bank Loans

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2022Exploitation of Machine Learning Algorithms for Detecting Financial Crimes Based on Customers’ Behavior 2016Credit Risk Analysis and Prediction Modelling of Bank Loans Using R 2021Credit Risk Model Based on Central Bank Credit Registry Data 2025Exploring Cutting-Edge Algorithms in FinTech: Leveraging Machine Learning and Artificial Intelligence for Achieving Sustainability 2021Comparative Analysis of Ml Algorithms & Stream Lit Web Application 2020Loan Default Forecasting using Data Mining 2023Joint loan risk prediction based on deep learning‐optimized stacking model 2023An Efficient Loan Approval Status Prediction Using Machine Learning

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