Skip to main
Zenodo home
Communities
My dashboard
Log in Sign up
The Academic: International Journal of Multidisciplinary Research
Published April 25, 2026 | Version v1
Journal article Open

A Zero-Training Statistical Anomaly Detection Framework Using Adaptive Deviation Analysis for Financial Fraud Detection

Authors/Creators

  • Ambika Jha, Akash Saraswat

Files

27.pdf

Files (962.3 kB)

Name Size
27.pdf
md5:77c214d2388645c645134d8c8983d9f9
962.3 kB Preview Download
19
Views
10
Downloads
Show more details
All versions This version
Views

Total views

19 19
Downloads

Total downloads

10 10
Data volume

Total data volume

10.6 MB 10.6 MB

More info on how stats are collected....

Versions

External resources

Indexed in
  • OpenAIRE

Communities

Details

DOI
10.5281/zenodo.20078697
DOI Badge

DOI

10.5281/zenodo.20078697

Markdown

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.20078697.svg)](https://doi.org/10.5281/zenodo.20078697)

reStructuredText

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.20078697.svg
  :target: https://doi.org/10.5281/zenodo.20078697

HTML

<a href="https://doi.org/10.5281/zenodo.20078697"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.20078697.svg" alt="DOI"></a>

Image URL

https://zenodo.org/badge/DOI/10.5281/zenodo.20078697.svg

Target URL

https://doi.org/10.5281/zenodo.20078697
Resource type
Journal article
Publisher
JALIS AHMAD
Published in
The Academic, 4(Sp Issue), ISSN: 2583-973X, 2026.

Rights

License
cc-by-4.0 icon Creative Commons Attribution 4.0 International
The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more

Citation

Export

Technical metadata

Created
May 8, 2026
Modified
May 8, 2026

About

  • About
  • Policies
  • Infrastructure
  • Principles
  • Projects
  • Roadmap
  • Contact

Blog

  • Blog

Support

  • Help
  • FAQ

Developers

  • REST API
  • OAI-PMH

Contribute

  • GitHub
  • Donate

Funded by

Powered by CERN Data Centre & InvenioRDM

  • Status
  • Privacy policy
  • Cookie policy
  • Terms of Use

This site uses cookies. Find out more on how we use cookies