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

Research article (Neurocomputing, 2019) · cited 39× · AI/ML
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An artificial bee colony-based kernel ridge regression for automobile insurance fraud identification

Summary

An artificial bee colony-based kernel ridge regression for automobile insurance fraud identification is a scholarly article[1].

Key Facts

  • An artificial bee colony-based kernel ridge regression for automobile insurance fraud identification's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). An artificial bee colony-based kernel ridge regression for automobile insurance fraud identification. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-artificial-bee-colony-based-kernel-ridge-regression-for-automobile-insurance-fraud-identification
MLA “An artificial bee colony-based kernel ridge regression for automobile insurance fraud identification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-artificial-bee-colony-based-kernel-ridge-regression-for-automobile-insurance-fraud-identification.
BibTeX @misc{4ortxyz_an-artificial-bee-colony-based-kernel-ridge-regression-for-automobile-insurance-fraud-identification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An artificial bee colony-based kernel ridge regression for automobile insurance fraud identification}}, year = {2026}, url = {https://4ort.xyz/entity/an-artificial-bee-colony-based-kernel-ridge-regression-for-automobile-insurance-fraud-identification}, note = {Accessed: 2026-05-24}}
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