Real Time Loan Fraud detection in banking sector using machine learning and DM technique

  • Unique Paper ID: 148192
  • Volume: 5
  • Issue: 12
  • PageNo: 584-588
  • Abstract:
  • There is a loss of billions of dollars worldwide each year because of frauds happening in financial sectors. There is a problem with internal auditing system of financial sectors because of which there is a need for fraud detection. This paper gives the details about fraud detection in financial sectors using machine learning and data mining techniques. Bayesian and K-means algorithms are used for fraud detection here.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{148192,
        author = {Brunda Shree V and Bhavana L and Harshavardhan Doddamani},
        title = {Real Time Loan Fraud detection in banking sector using machine learning and DM technique },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {12},
        pages = {584-588},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=148192},
        abstract = {There is a loss of billions of dollars worldwide each year because of frauds happening in financial sectors. There is a problem with internal auditing system of financial sectors because of which there is a need for fraud detection. This paper gives the details about fraud detection in financial sectors using machine learning and data mining techniques. Bayesian and K-means algorithms are used for fraud detection here. },
        keywords = {Frauds, Financial Detection, Auditing, Worldwide.},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 5
  • Issue: 12
  • PageNo: 584-588

Real Time Loan Fraud detection in banking sector using machine learning and DM technique

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