Showing 521 - 540 results of 619 for search '"fraud detection"', query time: 1.77s Refine Results
  1. 521
    by McCreesh, Ciaran
    Published 2017
    ..., law enforcement, fraud detection, fault diagnosis, manufacturing, and sociology. We therefore consider...
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  2. 522
    ... to the finance and security industry ranging from face recognition to fraud detection. In particular, deep neural...
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    Article
  3. 523
    ..., existing fraud detection approaches tend to be less effective in terms of monitoring the healthcare...
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    Article
  4. 524
    .... Spectroscopic methods are becoming more and more common in food fraud detection. The aim of this study...
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    Article
  5. 525
    ...-mining-based approaches for fraud detection. To the best of our knowledge, no fraud audit method exists...
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    Article
  6. 526
  7. 527
    by John T. Hancock, Taghi M. Khoshgoftaar
    Published 2020-04-01
    ... use categorical data in neural networks. Some of these domains are natural language processing, fraud...
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    Article
  8. 528
  9. 529
    by Gherai Dana Simona
    Published 2011-12-01
    ... there is a significant difference in perceptions of the role of the public auditor in respect of fraud...
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    Article
  10. 530
    by Deodhar, Meghana
    Published 2010
    ... specialized to address classification and regression problems in domains like recommender systems, fraud...
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  11. 531
    by Bellinger, Colin
    Published 2016
    ... imbalanced. Class imbalance appears in a wide variety of important domains, ranging from oil spill and fraud...
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  12. 532
    by Tzu-Chen Teng, 鄧子震
    Published 2015
    ... by step to prevent the insurance fraud. Furthermore, to increase the insurance fraud detection rate...
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  13. 533
    by Mohd Ali, Azliza
    Published 2018
    ... areas such as the medical sector, fraud detection in finance, fault detection in machines, intrusion...
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  14. 534
    by Yang, Di
    Published 2012
    ... of application domains, such as financial analysis, social network analysis, credit fraud detection, and moving...
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  15. 535
    ... Benford’s Law in NHI data and he also used machine learning algorithms to do fraud detection. Zaharia et al...
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  16. 536
    ... Neural Additive Models on Fraud Detection and StructureBoost on CA-58 in terms of Area Under Curve, while...
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    Article
  17. 537
    ... to academic literature and policymakers. It extends fraud detection literature and provides evidence...
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    Article
  18. 538
    by Su-Li Lin, 林愫麗
    Published 2014
    .... It is expected to reduce audit risk and enhance the auditor’s fraud detection ability through improving audit...
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  19. 539
    by Hsin-Jung Cheng, 鄭歆蓉
    Published 2015
    ... have shown that the mined model with high fitness can be used in process improvement, such as fraud...
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  20. 540
    by Ranga Suri, N N R
    Published 2018
    ... applications such as fraud detection and anomaly detection in networks, etc. It assumes significance due...
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