CatBoost and Bayesian Optimization Algorithm-Based Classification of Fraudulently Insured Persons and Random Forest-Based Fraud Prediction Combining Multiple Attention Mechanisms

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Název: CatBoost and Bayesian Optimization Algorithm-Based Classification of Fraudulently Insured Persons and Random Forest-Based Fraud Prediction Combining Multiple Attention Mechanisms
Autoři: Haoming Xie
Zdroj: 2025 5th International Conference on Machine Learning and Intelligent Systems Engineering (MLISE). :103-110
Informace o vydavateli: IEEE, 2025.
Rok vydání: 2025
Druh dokumentu: Article
DOI: 10.1109/mlise66443.2025.11100175
Rights: STM Policy #29
Přístupové číslo: edsair.doi...........baba80ccd4585a5e1f63b4bd93e8f18d
Databáze: OpenAIRE
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DOI:10.1109/mlise66443.2025.11100175