International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 3 (May-June 2026) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 3
May-June 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Adaptive Credit Card Fraud Detection Using MLOps with Real Time Drift Detection

Author(s) Ms. Mandhadi Snehalatha Reddy, Ms. Lekkala Sri Manvitha Reddy, N. Musrat Sultana
Country India
Abstract Credit card fraud is such a big deal these days, especially with everyone shopping online all the time. I mean, people pull out their cards for just about anything, from groceries to random stuff on apps, and that opens the door for shady things to happen without much notice. The old machine learning methods that companies relied on, they just aren't cutting it anymore. Fraudsters are always changing how they operate, switching tactics before the systems can catch on. It seems like over time, those setups let more slip by, missing stuff that should be obvious. We try to fix that by blending machine learning with MLOps, you know, to monitor everything in real time sort of. First off, we train a few simple models using the data that's around, and then choose one that performs decently, I guess. Once that's done, it gets deployed to scan actual transactions as they come in, flagging anything that looks off. That part about keeping an eye
constantly, it feels important because the fraud keeps evolving. Some people might think basic models are enough, but I am not totally sure, this way seems better for staying ahead.
Keywords Credit Card Fraud Detection, MLOps, Concept Drift, Model Monitoring, Data Imbalance Handling, Classification Algorithm
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-26
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 3Cover Page Vol 8 Isu 2Cover Page Vol 8 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com
Powered by Sky Research Publication and Journals