A state of the art survey of data mining-based fraud detection and credit scoring
X Zhou, S Cheng, M Zhu, C Guo… - MATEC Web of …, 2018 - matec-conferences.org
Credit risk has been a widespread and deep penetrating problem for centuries, but not until
various credit derivatives and products were developed and novel technologies began …
various credit derivatives and products were developed and novel technologies began …
Predicting credit card fraud on a imbalanced data
WW Soh, RM Yusuf - International Journal of Data Science and …, 2019 - ijdsaa.com
Credit card fraud is increasing considerably with the development of modern technology and
the global superhighways of communication. Credit card fraudsters continuously try to come …
the global superhighways of communication. Credit card fraudsters continuously try to come …
Credit card fraud detection using asexual reproduction optimization
A Farhang Ghahfarokhi, T Mansouri… - Kybernetes, 2022 - emerald.com
Purpose The best algorithm that was implemented on this Brazilian dataset was artificial
immune system (AIS) algorithm. But the time and cost of this algorithm are high. Using …
immune system (AIS) algorithm. But the time and cost of this algorithm are high. Using …
A method for cheating indication in unproctored on-line exams
COVID-19 has disrupted every field of life and education is not immune to it. Student
learning and examinations moved on-line on a few weeks notice, which has created a large …
learning and examinations moved on-line on a few weeks notice, which has created a large …
[PDF][PDF] HEMClust: An improved fraud detection model for health insurance using heterogeneous ensemble and K-prototype clustering
Health insurance plays an integral part of society's economic well-being; the existence of
fraud creates innumerable challenges in providing affordable health care support for the …
fraud creates innumerable challenges in providing affordable health care support for the …
Credit Card Fraud Detection using Decision Tree and Random Forest
D Shah, LK Sharma - ITM Web of Conferences, 2023 - itm-conferences.org
It is the time of technology advancement. Due to internet everything is available at the touch
of a finger. There is a benefit of online shop**: first it saves lots of time and second it does …
of a finger. There is a benefit of online shop**: first it saves lots of time and second it does …
Hägerstrand meets big data: time-geography in the age of mobility analytics
On August 19th, 1684, a certain James Nicol, merchant burgess of Peeble, stood before the
Privy Council for the second day of his interrogation in Edinburgh. Mr. Nicol had been …
Privy Council for the second day of his interrogation in Edinburgh. Mr. Nicol had been …
Monetary transaction fraud detection system based on machine learning strategies
LS Chandradeva, TM Amarasinghe, M De Silva… - … Congress on Information …, 2020 - Springer
Fraud is a costly business problem which causes every organization to face huge loss.
Fraud may lead to risk of financial loss and loss of the confidence of customers and …
Fraud may lead to risk of financial loss and loss of the confidence of customers and …
An effective data sampling procedure for imbalanced data learning on health insurance fraud detection
SS Kotekani, I Velchamy - Journal of computing and information …, 2020 - hrcak.srce.hr
Sažetak Fraud detection has received considerable attention from many academic research
and industries worldwide due to its increasing popularity. Insurance datasets are enormous …
and industries worldwide due to its increasing popularity. Insurance datasets are enormous …
Short paper: Credit card fraud detection using LightGBM with asymmetric error control
X Hu, H Chen, R Zhang - 2019 second international …, 2019 - ieeexplore.ieee.org
Credit card frauds, while only account for about 0.1% of all card transactions, resulting in
huge financial and reputational losses. Challenges of detecting credit card frauds are from …
huge financial and reputational losses. Challenges of detecting credit card frauds are from …