Search Results - (( fraud detection a algorithm ) OR ( using optimization method algorithm ))
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Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm
Published 2023“…It provides an increased convergence and globally optimized solutions. The algorithm has been tested using actual customer consumption data from SESB. 10 fold cross validation method is used to confirm the consistency of the detection accuracy. …”
Conference Paper -
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A comparative analysis of anti-phishing website techniques: identifying optimal approaches to enhance cybersecurity
Published 2023“…By integrating the Google Safe Browsing List and the Random Forest classifier, a web application is created. Upon receiving the user's URL, the web application utilises a pre-trained Random Forest classifier to ascertain the probability that the requested URL is a fraud site. …”
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Fraud detection in telecommunication using pattern recognition method / Mohd Izhan Mohd Yusoff
Published 2014“…We introduce a new algorithm that could detect fraud activities in telecommunication industry (e.g. intrusion fraud which occurs when legitimate account is comprised by an intruder who makes or sells calls on this account) that uses Gaussian Mixed Model (or GMM), a probabilistic model normally used in fraud detection via speech recognition. …”
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Fraud detection in telecommunication industry using Gaussian mixed model
Published 2013“…In this article, we propose a new fraud detection algorithm using Gaussian mixed model (GMM), a probabilistic model successfully used in speech recognition problem. …”
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Conference or Workshop Item -
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Detection of Fraud and Non-Fraud Transaction using Machine Learning Algorithm
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Final Year Project -
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Fraud detection in shipping industry based on location using machine learning comparison techniques
Published 2023“…There were also identification of factors that influence fraud activity, review existing fraud detection models, develop the detection model and implement it using a well-known tool in the market namely Rapidminer. …”
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Credit Card Fraud Detection Using AdaBoost and Majority Voting
Published 2018“…In this paper, machine learning algorithms are used to detect credit card fraud. Standard models are first used. …”
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Online Transaction Fraud Detection Using Backlogging On E-Commerce Website: A Review
Published 2024Article -
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A Location-Based Fraud Detection in Shipping Industry Using Machine Learning Comparison Techniques
Published 2025“…An automated solutionAutomated solution is needed to address this issue and prevent further impacts on the industry and society. A study reviewed existing fraud detectionFraud detection models and identified the most effective algorithm for the shipping industry. …”
Book chapter -
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Employing Artificial Intelligence to Minimize Internet Fraud
Published 2009“…Following this, an a ttempt is made to propose using the MonITARS (Monitoring In sider Trading and Regulatory Surveillance) Systems framework which uses a combination of genetic algorithms, neural nets and statistical analysis in detecting insider dealing, to be used in the detection of transaction fraud. …”
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Building classification models from imbalanced fraud detection data / Terence Yong Koon Beh, Swee Chuan Tan and Hwee Theng Yeo
Published 2014“…This paper reports our experience in applying data balancing techniques to develop a classifier for an imbalanced real-world fraud detection data set. …”
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Improved expectation maximization algorithm for Gaussian mixed model using the kernel method
Published 2013“…Finally, for illustration, we apply the improved algorithm to real telecommunication data. The modified method will pave the way to introduce a comprehensive method for detecting fraud calls in future work.…”
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RFID-enabled supply chain detection using clustering algorithms
Published 2015“…We propose to use clustering algorithms in order to detect counterfeit in supply chain management. …”
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Conference or Workshop Item -
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Credit Card Fraud Detection Using New Preprocessing And Hybrid Machine Learning Techniques
Published 2023“…The second contribution to this research is to develop multiple hybrid machine learning models in order to enhance the detection of fraudulent activities in the credit card fraud detection domain.…”
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Thesis -
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Outlier Detection Technique in Data Mining: A Research Perspective
Published 2005“…The identification of outliers can lead to the discovery of unexpected knowledge in areas such as credit card fraud detection, calling card fraud detection, discovering criminal behaviors, discovering computer intrusion, etc. …”
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Conference or Workshop Item -
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Forensic accountants, auditors and fraud capability and competence requirements in the Nigerian public sector
Published 2014“…Most importantly, the study explored the role of fraud related problem representation (FRPR) as a mediator on the relationship between knowledge, skills and mindset (forensic accountant and auditor) and task performance fraud risk assessment. …”
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Assessing the relationships between problem representation, capabilities and task performance fraud risk assessment by Nigerian deposit money banks' fraud investigators
Published 2021“…The study also recommends integration of forensic accountants and bank examiners as permanent fixtures for fraud prevention and detection.…”
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Thesis