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Research Article
Smart Lender Applicant Credibility Prediction for Loan Approval
Chandru V1
Poovarasan D2
Tamilan M3
Abilesh R4
Umameshwari M5
12345Computer Science and Engineering, The Kavery Engineering College/ Anna University, Tamilnadu, India.
Published Online: May-June 2023
Pages: 295-298
Cite this article
↗ https://www.doi.org/10.59256/ijire.2023040392References
[1] B. P. Lohani, M. Trivedi, R. J. Singh, V. Bibhu, S. Ranjan and P. K. Kushwaha, "Machine Learning Based Model for Prediction of
Loan Approval," 2022 3rd International Conference on Intelligent Engineering and Management (ICIEM), 2022, pp. 465-470, doi:
10.1109/ICIEM54221.2022.9853160.
[2] Soni PM, Varghese Paul, “Algorithm For the Loan Credibility Prediction System”, International Journal of Recent Technology and
Engineering (IJRTE), Volume-8, Issue-1S4, June 2019.
[3] Okfalisa, R. Fitriani and Y. Vitriani, "The Comparison of Linear Regression Method and K- Nearest Neighbors in Scholarship
Recipient," 2018 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and
Parallel/Distributed Computing (SNPD), 2018, pp. 194-199, doi: 10.1109/SNPD.2018.8441068.
[4] Kathe Rutika Pramod, Panhale Sakshi Dattatray, Avhad Pooja Prakash, “An Approach For Prediction Of Loan Approval using
Machine Learning Algorithm”, International Journal of CreativeResearch Thoughts (IJCRT), Volume 9, Issue 6, June 2021.
[5] Ambika, & Biradar, Santosh. (2021). Survey on Prediction of Loan Approval Using Machine Learning Techniques.
International Journal of Advanced Research in Science, Communication and Technology. 449-454. 10.48175/IJARSCT-1165.
[6] Yash Divate, Prashant Rana, Pratik Chavan, “Loan Approval Prediction Using Machine Learning”, International Research
Journal of Engineering and Technology (IRJET), Volume: 08 Issue: 05, May 2021.
[7] Anant Shinde, Yash Patil, Ishan Kotian, Abhinav Shinde, Reshma Gulwani, “Loan Prediction System Using Machine Learning”,
International Conference on Automation, Computing and Communication 2022 (ICACC-2022), Volume 44, May 2022.
[8] Q. Du, N. Li, S. Yang, D. Sun and W. Liu, "Integrating KNN and Gradient Boosting Decision Tree for Recommendation,"
2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2021, pp. 2042-2049,
doi: 10.1109/IAEAC50856.2021.9390647.
Loan Approval," 2022 3rd International Conference on Intelligent Engineering and Management (ICIEM), 2022, pp. 465-470, doi:
10.1109/ICIEM54221.2022.9853160.
[2] Soni PM, Varghese Paul, “Algorithm For the Loan Credibility Prediction System”, International Journal of Recent Technology and
Engineering (IJRTE), Volume-8, Issue-1S4, June 2019.
[3] Okfalisa, R. Fitriani and Y. Vitriani, "The Comparison of Linear Regression Method and K- Nearest Neighbors in Scholarship
Recipient," 2018 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and
Parallel/Distributed Computing (SNPD), 2018, pp. 194-199, doi: 10.1109/SNPD.2018.8441068.
[4] Kathe Rutika Pramod, Panhale Sakshi Dattatray, Avhad Pooja Prakash, “An Approach For Prediction Of Loan Approval using
Machine Learning Algorithm”, International Journal of CreativeResearch Thoughts (IJCRT), Volume 9, Issue 6, June 2021.
[5] Ambika, & Biradar, Santosh. (2021). Survey on Prediction of Loan Approval Using Machine Learning Techniques.
International Journal of Advanced Research in Science, Communication and Technology. 449-454. 10.48175/IJARSCT-1165.
[6] Yash Divate, Prashant Rana, Pratik Chavan, “Loan Approval Prediction Using Machine Learning”, International Research
Journal of Engineering and Technology (IRJET), Volume: 08 Issue: 05, May 2021.
[7] Anant Shinde, Yash Patil, Ishan Kotian, Abhinav Shinde, Reshma Gulwani, “Loan Prediction System Using Machine Learning”,
International Conference on Automation, Computing and Communication 2022 (ICACC-2022), Volume 44, May 2022.
[8] Q. Du, N. Li, S. Yang, D. Sun and W. Liu, "Integrating KNN and Gradient Boosting Decision Tree for Recommendation,"
2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2021, pp. 2042-2049,
doi: 10.1109/IAEAC50856.2021.9390647.
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