Search Results - (( fraud detection system algorithm ) OR ( _ application a algorithm ))

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  1. 1
    Fraud detection in telecommunication using pattern recognition method / Mohd Izhan Mohd Yusoff

    Fraud detection in telecommunication using pattern recognition method / Mohd Izhan Mohd Yusoff by Mohd Yusoff, Mohd Izhan

    Published 2014
    “…Fraud activities have reached to critical point causing millions of ringgit of losses to telecommunication companies, and as a result, forcing them to employ applications or systems (such as Telekom Malaysia Berhad’s Next Generation Fraud Detection System) to detect the said activities. …”
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  2. 2
    Online Transaction Fraud Detection Using Backlogging On E-Commerce Website: A Review

    Online Transaction Fraud Detection Using Backlogging On E-Commerce Website: A Review by Atiqah, S.M.T., Nurdiana, A.

    Published 2024
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  3. 3
    Fraud detection in telecommunication industry using Gaussian mixed model

    Fraud detection in telecommunication industry using Gaussian mixed model by Mohd Yusoff, Mohd Izhan, Mohamed, Ibrahim, Abu Bakar, Mohd Rizam

    Published 2013
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  4. 4
    Detection of Fraud and Non-Fraud Transaction using Machine Learning Algorithm

    Detection of Fraud and Non-Fraud Transaction using Machine Learning Algorithm by Sujang Karing, Darryl

    Published 2022
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    Final Year Project
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  5. 5
    Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm

    Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm by Yap K.S., Abidin I.Z., Ahmad A.R., Hussien Z.F., Pok H.L., Ismail F.I., Mohamad A.M.

    Published 2023
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    Conference Paper
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  6. 6
    Employing Artificial Intelligence to Minimize Internet Fraud

    Employing Artificial Intelligence to Minimize Internet Fraud by Wong, E.S.K.

    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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  7. 7
    A Location-Based Fraud Detection in Shipping Industry Using Machine Learning Comparison Techniques

    A Location-Based Fraud Detection in Shipping Industry Using Machine Learning Comparison Techniques by Subramaniam G.A.L., Mahmoud M.A., Abdulwahid S.N., Gunasekaran S.S.

    Published 2025
    “…A study reviewed existing fraud detectionFraud detection models and identified the most effective algorithm for the shipping industry. …”
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  8. 8
    Data Classification and Its Application in Credit Card Approval

    Data Classification and Its Application in Credit Card Approval by Thai , VinhTuan

    Published 2004
    “…The result of this application using the sample credit card approval dataset includes a decision tree, a set of rules derived from the decision tree and its accuracy. …”
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  9. 9
    An enhanced android botnet detection approach using feature refinement

    An enhanced android botnet detection approach using feature refinement by Anwar, Shahid

    Published 2019
    “…Furthermore, the existing detection techniques can detect only malicious Android applications, while they are unable to detect the Android botnet applications. …”
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  10. 10
    Botnet detection using automated script / Norfathin Rosli

    Botnet detection using automated script / Norfathin Rosli by Rosli, Norfathin

    Published 2020
    “…This paper is about a Botnet Detection using Automated Script, the programming language is and the operating system is Windows 7. …”
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  11. 11
    Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms

    Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms by Lei, X., Mohamad, U.H., Sarlan, A., Shutaywi, M., Daradkeh, Y.I., Mohammed, H.O.

    Published 2022
    “…In the financial sector, machine learning algorithms are used to detect fraud, automate trading, and provide financial advice to investors. …”
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  12. 12
    SEDF: a spoofed email detection framework employed by a lightweight web browser plug-in for detecting the spoofed email / Al Ya@Geogiana Buja...[et al.]

    SEDF: a spoofed email detection framework employed by a lightweight web browser plug-in for detecting the spoofed email / Al Ya@Geogiana Buja...[et al.] by Buja, Al Ya@Geogiana, Ahmad, Illiasaak, Zolkeply, Mohd Syafiq

    Published 2014
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    Research Reports
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  13. 13
    University Voting System Using Facial Recognition Technology

    University Voting System Using Facial Recognition Technology by Nur Amni Fatini Mohd Nain, Farida Hazwani Mohd Ridzuan, YS Yusoff

    Published 2025
    conference output::conference proceedings::conference paper
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  14. 14
    Robust and reliable dual the classification system with error compensation module

    Robust and reliable dual the classification system with error compensation module by Ahmad Nasiruddin, Ab Razak

    Published 2014
    “…The system uses treadle sensors to map tires and count the number of axles while the optical barrier is used to detect the presence of vehicle. …”
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  15. 15
    Detection of energy theft and defective smart meters in smart grids using linear regression

    Detection of energy theft and defective smart meters in smart grids using linear regression by Yip, S.C., Wong, K., Hew, W.P., Gan, M.T., Phan, R.C.W., Tan, S.W.

    Published 2017
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  16. 16
    Student attendance system using facial recognition based on deep learning / Syahila Aina Haris and Zulfikri Paidi

    Student attendance system using facial recognition based on deep learning / Syahila Aina Haris and Zulfikri Paidi by Haris, Syahila Aina, Paidi, Zulfikri

    Published 2023
    “…As a result, the computer can identify faces. This algorithm can identify the faces of students who appear in class, and their attendance will be recorded automatically into the system. …”
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  17. 17
    Efficient ML technique in blockchain-based solution in carbon credit for mitigating greenwashing

    Efficient ML technique in blockchain-based solution in carbon credit for mitigating greenwashing by Raja Segaran, Bama, Mohd Rum, Siti Nurulain, Hafez Ninggal, Mohd Izuan, Mohd Aris, Teh Noranis

    Published 2025
    “…However, while blockchain ensures transparency, it lacks real-time anomaly detection capabilities. ML algorithms, particularly supervised models such as Random Forest, XGBoost, and Neural Networks, are well-suited for detecting fraudulent patterns and verifying the authenticity of forest carbon credit transactions. …”
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  18. 18
    Implication of image processing algorithm in remote sensing and GIS applications

    Implication of image processing algorithm in remote sensing and GIS applications by Pathan, Mubeena, Jusoff, Kamaruzaman, Mohd Sood, Alias, Razali, Yaakob, Qureshi, Barkatullah

    Published 2011
    “…Greedy algorithms expresses as a simple solution algorithm that choose a local optimum solution at each step to achieve a global optimum. …”
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  19. 19
    A novel scheduling algorithm based on game theory and multicriteria decision making in LTE network

    A novel scheduling algorithm based on game theory and multicriteria decision making in LTE network by Hindia, M.N., Reza, A.W., Noordin, K.A.

    Published 2015
    “…This paper presents a novel technique consisting of both TOPSIS and game theory algorithms to study three smart grid applications. …”
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  20. 20
    Schelkunoff array synthesis methods using adaptive-iterative algorithm

    Schelkunoff array synthesis methods using adaptive-iterative algorithm by Abdul Latiff, Nurul Mu'azzah

    Published 2003
    “…Basically, this algorithm is a combination of iterative algorithm with adaptive algorithm. …”
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