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Detecting insurance fraud using supervised and unsupervised machine learning.

• Authors : Debener, Jörn (AUTHOR); Heinke, Volker (AUTHOR); Kriebel, Johannes (AUTHOR)

Subjects: INSURANCE crimes; MACHINE learning; SUPERVISED learning

• Source: Journal of Risk & Insurance. Sep2023, Vol. 90 Issue 3, p743-768. 26p. 3 Diagrams, 8 Charts, 1 Graph.

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Insurance fraud detection: A statistically validated network approach.

• Authors : Tumminello, Michele (AUTHOR); Consiglio, Andrea (AUTHOR); Vassallo, Pietro (AUTHOR)

Subjects: INSURANCE crimes; FRAUD investigation; BIPARTITE graphs

• Source: Journal of Risk & Insurance. Jun2023, Vol. 90 Issue 2, p381-419. 39p. 5 Diagrams, 8 Charts, 11 Graphs.

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Correlates of responding to and becoming victimized by fraud: Examining risk factors by scam type.

• Authors : DeLiema, Marguerite¹ (AUTHOR) ; Li, Yiting² (AUTHOR); Mottola, Gary³ (AUTHOR)

Subjects: *FRAUD; *SWINDLERS & swindling; *CONSUMER fraudNORTH America

• Source: International Journal of Consumer Studies. May2023, Vol. 47 Issue 3, p1042-1059. 18p. 5 Charts.

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EnLEFD‐DM: Ensemble Learning based Ethereum Fraud Detection using CRISP‐DM framework.

• Authors : Pahuja, Lavina¹ (AUTHOR); Kamal, Ahmad² (AUTHOR)

• Source: Expert Systems. Nov2023, Vol. 40 Issue 9, p1-18. 18p.

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Evaluation of traditional semi‐hard Brazilian cheeses using chemometric tools to identify possible denomination fraud.

• Authors : Fitztum, Amanda Carneiro¹ (AUTHOR); Lima, Larissa Siqueira² (AUTHOR); Judacewski, Priscila¹ (AUTHOR)

Subjects: *FRAUD; *CHEMOMETRICS; *CHEESE

• Source: International Journal of Dairy Technology. Aug2023, Vol. 76 Issue 3, p616-626. 11p.

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A hybrid data‐level sampling approach in learning from skewed user‐click data for click fraud detection in online advertising.

• Authors : Sisodia, Deepti¹ (AUTHOR) ; Sisodia, Dilip Singh¹ (AUTHOR)

• Source: Expert Systems. Feb2023, Vol. 40 Issue 2, p1-17. 17p.

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Predicting credit card fraud using multipurpose classification based on evolutionary rules.

• Source: Security & Privacy. Sep2022, Vol. 5 Issue 5, p1-16. 16p.

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The 11 sins of seafood: Assessing a decade of food fraud reports in the global supply chain.

• Authors : Lawrence, Sophie¹ (AUTHOR) ; Elliott, Christopher¹ (AUTHOR); Huisman, Wim² (AUTHOR)

Subjects: *SEAFOOD; *SUPPLY chains; *FRAUDVIETNAM

• Source: Comprehensive Reviews in Food Science & Food Safety. Jul2022, Vol. 21 Issue 4, p3746-3769. 24p.

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Social Network Analytics for Supervised Fraud Detection in Insurance.

• Authors : Óskarsdóttir, María (AUTHOR); Ahmed, Waqas (AUTHOR); Antonio, Katrien (AUTHOR)

Subjects: INSURANCE crimes; FRAUD investigation; SOCIAL networks

• Source: Risk Analysis: An International Journal. Aug2022, Vol. 42 Issue 8, p1872-1890. 19p. 7 Diagrams, 13 Charts, 2 Graphs.

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Oppositional Cat Swarm Optimization-Based Feature Selection Approach for Credit Card Fraud Detection.

• Authors : Prabhakaran, N.¹ (AUTHOR); Nedunchelian, R.² (AUTHOR)

• Source: Computational Intelligence & Neuroscience. 1/13/2023, p1-13. 13p.

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