Results 101 to 110 of about 132,324 (298)
Neural data mining for credit card fraud detection [PDF]
The prevention of credit card fraud is an important application for prediction techniques. One major obstacle for using neural network training techniques is the high necessary diagnostic quality: Since only one financial transaction of a thousand is ...
Brause, Rüdiger W. +2 more
core
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi +3 more
wiley +1 more source
BackgroundDespite the importance of health care fraud and the political, legislative and administrative attentions paid to it, combating fraud remains a challenge to the health systems. We aimed to identify, categorize and assess the effectiveness of the
Arash Rashidian +2 more
doaj +1 more source
A comparative analysis of decision trees vis-a-vis other computational data mining techniques in automotive insurance fraud detection [PDF]
The development and application of computational data mining techniques in financial fraud detection and business failure prediction has become a popular cross-disciplinary research area in recent times involving financial economists, forensic ...
Bhattacharya, Sukanto +3 more
core
This research paper proposes a solution that should be deployed to identify whether the transaction is fraud or not. Although we know that most of the transaction takes place online meaning that this transaction can be theft on the go and will create problem to user therefore this paper focus on some particular machine learning algorithm for example ...
openaire +1 more source
ESG Controversies in Global Firms: A Black Mark?
ABSTRACT Despite increasing attention paid by companies to sustainability, there is still evidence of environmental, social and governance (commonly referred to as ESG) scandals. As research on this topic is scant, this paper aims to analyse the impact of ESG controversies on firms' sustainability practices, that is, ESG policies, as well as ...
Beatrice Bais, Guido Orzes, Marco Sartor
wiley +1 more source
Credit card fraud remains a significant challenge due to class imbalance and fraudsters mimicking legitimate behavior. This study evaluates five machine learning models - Logistic Regression, Random Forest, XGBoost, K-Nearest Neighbors (KNN), and Multi-Layer Perceptron (MLP) on a real-world dataset using undersampling, SMOTE, and a hybrid approach. Our
Popova, Iva, Gardi, Hamza A. A.
openaire +3 more sources
Triage in forensic accounting using Zipf's law [PDF]
n forensic accounting, use of Benford's law has long been acknowledged as a technique for identifying anomalous numerical data. Zipf's law has received considerably less attention in this domain despite the fact that it is not limited to analysis of ...
Odueke, Adeola, Weir, George
core
Consumer Acceptance of Conversational Bots: Systematic Literature Review and Meta‐Analysis
ABSTRACT As consumers increasingly rely on conversational bots for daily tasks, evidence surrounding motivations for acceptance remains scattered. A systematic literature review (SLR) was conducted on 64 journal articles published between 2008 and 2024, of which 48 provided sufficient quantitative data for inclusion in a meta‐analysis.
Omar H. Fares, Seung Hwan (Mark) Lee
wiley +1 more source
Competency assessment in fraud detection at BPK: Challenges and enhancements
Public concerns have been raised regarding the audits conducted by the Audit Board of the Republic of Indonesia (Badan Pemeriksa Keuangan or BPK), the supreme audit institution, which often issues unqualified opinions despite the increasing number of ...
Dadang Sukma, Ratna Wardhani
doaj +1 more source

