Results 181 to 190 of about 132,324 (298)
Enhancing credit card fraud detection using DBSCAN-augmented disjunctive voting ensemble. [PDF]
Ghalwash MA +3 more
europepmc +1 more source
Structures of Ideological Systems Programming. The Case of Sustainability in Prices
ABSTRACT This paper aims to demonstrate Niklas Luhmann's systems theory and its concept of ideologies as a general framework for analysing the actual implementation of normative ideas in modern society. Using the example of sustainable pricing within the economic system, it shows how values can be established at the programmatic level of function ...
Kristoffer Klement
wiley +1 more source
The rapid expansion of digital financial transactions has led to an increase in sophisticated fraud techniques, particularly within high-frequency trading and online banking systems.
Milad Rahmati, Nima Rahmati
doaj
The analysis of fraud detection in financial market under machine learning. [PDF]
Jin J, Zhang Y.
europepmc +1 more source
In this article, I analyze my interviews with Mark (pseudonym), a social scientist who committed major academic fraud in over 50 top‐tier journal articles in the first decade of this century. I explain how stigma played a central role in how Mark and I shaped our interaction. I focus on how Mark, a former Professor and Dean with a distinguished career,
Thaddeus Müller
wiley +1 more source
HQRNN-FD: A Hybrid Quantum Recurrent Neural Network for Fraud Detection. [PDF]
Li YC +4 more
europepmc +1 more source
In the aftermath of the 2020 U.S. election, the boundary between activism and extremism blurred, with election officials reporting violent threats and false accusations of election fraud. From a symbolic interactionist perspective, these attacks provide a unique lens for examining the consequences of being falsely labeled a criminal.
Steven Windisch
wiley +1 more source
Image-Based Telecom Fraud Detection Method Using an Attention Convolutional Neural Network. [PDF]
Li J, Dang J, Wang Y, Yang J.
europepmc +1 more source
DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley +1 more source
ABSTRACT Small and medium‐sized enterprises (SMEs) face significant institutional barriers when expanding across borders, including regulatory constraints, financial accessibility issues, and market entry challenges. Institutional theory provides a useful framework for understanding how external regulative, normative, and cognitive institutional forces
Sharmin Nahar, Muntasir Alam
wiley +1 more source

