Articles with "insurance fraud" as a keyword



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An artificial bee colony-based kernel ridge regression for automobile insurance fraud identification

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Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.12.072

Abstract: Abstract Automobile insurance fraud is gradually spreading in its global scope, and mining automobile insurance fraud is of increasing interest to society. There are few studies on the application of Kernel Ridge Regression (KRR) to… read more here.

Keywords: kernel ridge; insurance fraud; fraud; automobile insurance ... See more keywords
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Sequence Embeddings Help Detect Insurance Fraud

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3149480

Abstract: Roughly 10 percent of the insurance industry’s incurred losses are estimated to stem from fraudulent claims. One solution is to use tabular data to construct models that can distinguish between claims that are legitimate and… read more here.

Keywords: fraud; insurance fraud; sequence embeddings; insurance ... See more keywords