Results 51 to 60 of about 274,113 (349)
FRAUD AND ANTI-FRAUD IN THE PORT SECTOR [PDF]
The purpose of this study was to determine the anti-fraud and fraud in the port sector. Research method used in this research is qualitative approach, with case study. The results of this study found that fraud was committed by employees (employee fraud),
Safuan, Safuan
core +1 more source
Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach
In the era of digital advancements, the escalation of credit card fraud necessitates the development of robust and efficient fraud detection systems. This paper delves into the application of machine learning models, specifically focusing on ensemble ...
Abdul Rehman Khalid +5 more
semanticscholar +1 more source
LITERATURE REVIEW: FRAUD AUDITING IN INDONESIA
Financial statement fraud or corruption is one of the most common types of fraud committed by company executives. Pressure, opportunity, rationalization, arrogance, and the ability to commit fraud are all factors that contribute to financial statement ...
Barnabas Tridig S. +2 more
doaj +1 more source
ABSTRACT Using survey and discrete choice experiment data, we examined US specialty crop growers' preferences for marketing contract attributes in the context of emerging blockchain‐based technologies and expanding traceability initiatives. Results show that farmers preferred traditional written contracts but might be willing to accept digital ...
Elizabeth Canales +3 more
wiley +1 more source
Financial fraud negatively impacts organizational administrative processes, particularly affecting owners and/or investors seeking to maximize their profits.
Ludivia Hernández Aros +4 more
semanticscholar +1 more source
Credit Card Fraud Detection Based on Unsupervised Attentional Anomaly Detection Network
In recent years, with the rapid development of Internet technology, the number of credit card users has increased significantly. Subsequently, credit card fraud has caused a large amount of economic losses to individual users and related financial ...
Shan Jiang +3 more
semanticscholar +1 more source
Abstract In Canada, precarious migration is largely invisibilized. Nonetheless, b/ordering greatly affects people's realities by limiting access to social rights. In Quebec, migrants with precarious status (MPS) do not have access to healthcare, although Quebec has a “universal” healthcare coverage.
Émilie Pigeon‐Gagné +3 more
wiley +1 more source
Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions
Deep learning (DL), a branch of machine learning (ML), is the core technology in today’s technological advancements and innovations. Deep learning-based approaches are the state-of-the-art methods used to analyse and detect complex patterns in large ...
Ibomoiye Domor Mienye, N. Jere
semanticscholar +1 more source
Detecting Fraud in Financial Statements Through the Fraud Triangle Model: The Case of Indonesia [PDF]
Referring to ACFE Global’s in the year 2016 until 2018 RTTN, fraudulent financial statement detection is a typical frequency occurrence and gets a large median loss.
Mappadang, Agoestina
core +1 more source
ABSTRACT While Australia's National Disability Insurance Scheme (NDIS) was founded on principles of choice and control, for people with significant mental health challenges (what the NDIS calls ‘psychosocial disability’) these ideals often remain elusive. Support systems continue to be fractured and in the context of ongoing policy reforms, it is vital
Joel Hollier, Jennifer Smith‐Merry
wiley +1 more source

