A advance account fraud detection and budget prediction system using machine learning

  • Unique Paper ID: 171080
  • PageNo: 2081-2082
  • Abstract:
  • Advance account fraud detection system is an application which can monitor the expenses of a company based on every year and month. The application is built using a machine learning algorithm. The algorithm anlysis companies past few years records and current market values of product. Based on that analysis the system can predict a particular years or months expenses records or it can check the records entered by accountant if there is any wrong in the record.

Copyright & License

Copyright © 2026 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{171080,
        author = {Tapaprabha Chowdhury},
        title = {A advance account fraud detection and budget prediction system using machine learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {2081-2082},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171080},
        abstract = {Advance account fraud detection system  is an application which can monitor the expenses of a company based on every year and month. The application is built using a machine learning algorithm. The algorithm anlysis companies past few years records and current market values of product. Based on that analysis the system can predict a particular years or months expenses records or it can check the records entered by accountant if there is any wrong in the record.},
        keywords = {IP, IR, IF, PIP},
        month = {December},
        }

Cite This Article

Chowdhury, T. (2024). A advance account fraud detection and budget prediction system using machine learning. International Journal of Innovative Research in Technology (IJIRT), 11(7), 2081–2082.

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