Reference health

Anomaly and Fraud Detection in Credit Card Transactions Using the ARIMA Model

https://doi.org/10.3390/engproc2021005056
CiteStamped reference-health badge
8/8 checkable references clean · checked 2026-07-22

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

14 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 8 checked references that resolve
resolves10.1016/j.eswa.2014.02.026
Learned lessons in credit card fraud detection from a practitioner perspective
resolves10.1109/INFOTEH.2019.8717766
Credit Card Fraud Detection - Machine Learning methods
resolves10.1109/SIEDS.2018.8374722
Deep learning detecting fraud in credit card transactions
resolves10.1002/9781118619193
Time Series Analysis
resolves10.7326/0003-4819-110-11-916
The Box Plot: A Simple Visual Method to Interpret Data
resolves10.1145/335191.335388
LOF
resolves10.1109/ICDM.2008.17
Isolation Forest
resolves10.1007/978-3-319-20010-1
An Introduction to Machine Learning
The 14 references without a DOI — listed, not checked
no DOI — not checkedBank, E.C. (2019). Fifth Report on Card Fraud, European Central Bank.
no DOI — not checkedNilson (2019, June 01). The Nilson Report|News and Statistics for Card and Mobile Payment Executives. Available online: Nilsonreport.com.
no DOI — not checkedCredit Card Fraud Detection using Machine Learning and Data Science
no DOI — not checkedCredit Dard Fraud Detection Using Local Outlier Factor
no DOI — not checkedCredit Card Fraud Detection Analysis
no DOI — not checkedCredit Card Fraud Detection Using Machine Learning Models and Collating Machine Learning Models
no DOI — not checkedAdhikari, R., and Agrawal, R.K. (2013). An Introductory Study on Time Series Modeling and Forecasting. arXiv.
no DOI — not checkedAzrak, R., and Melard, G. (2013). Exact Maximum Likelihood Estimation for Extended ARIMA Models, Université Libre de Bruxelles Institutional Repository.
no DOI — not checkedMining information from credit card time series for timelier fraud detection
no DOI — not checkedUsing Isolation Forest in anomaly detection: The case of credit card transactions
no DOI — not checkedScikit-learn: Machine Learning in Python
no DOI — not checkedCredit Card Fraud Detection using Local Outlier Factor and Isolation Forest
no DOI — not checkedTime Complexity of K-Means and K-Medians Clustering Algorithms in Outliers Detection
no DOI — not checkedBonaccorso, G. (2018). Machine Learning Algorithms: Popular Algorithms for Data Science and Machine Learning, Packt.
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

checked 2026-07-22 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record

view as graph · paper page

Embed this badge

Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.

<a href="https://citestamp.com/citestamped/10.3390/engproc2021005056"><img src="https://citestamp.com/citestamped/10.3390/engproc2021005056/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[![CiteStamped reference-health badge](https://citestamp.com/citestamped/10.3390/engproc2021005056/badge.svg)](https://citestamp.com/citestamped/10.3390/engproc2021005056)