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Fursov et al., 2022 - Google Patents

Sequence embeddings help detect insurance fraud

Fursov et al., 2022

View PDF
Document ID
3537024973443777475
Author
Fursov I
Kovtun E
Rivera-Castro R
Zaytsev A
Khasyanov R
Spindler M
Burnaev E
Publication year
Publication venue
IEEE Access

External Links

Snippet

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 those that are fraudulent. However, while canonical …
Continue reading at ieeexplore.ieee.org (PDF) (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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    • G06N3/00—Computer systems based on biological models
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06Q10/00—Administration; Management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
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    • G06Q20/38—Payment protocols; Details thereof
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    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/01—Social networking

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