A Comparative Analysis of Decision Trees Vis-□-vis OtherComputational Data Mining Techniques in AutomotiveInsurance Fraud Detection

The development and application of computational data mining techniques in financial fraud detection and business failure prediction has become a popular cross-disciplinary research area in recent times involving financial economists, forensic accountants and computational modellers. Some of the computational techniques popularly used in the context of financial fraud detection and business failure prediction can also be effectively applied in the detection of fraudulent insurance claims and therefore, can be of immense practical value to the insurance industry. We provide a comparative analysis of prediction performance of a battery of data mining techniques using real-life automotive insurance fraud data. While the data we have used in our paper is US-based, the computational techniques we have tested can be adapted and generally applied to detect similar insurance frauds in other countries as well where an organized automotive insurance industry exists.

並列關鍵字

ANNs ； decision trees ； fraud detection ； logit model ； survivalanalysis

被引用紀錄

簡振（2013）。賦權領導對價值共創之影響 ---跨層次的關鍵中介機制之探討〔碩士論文，國立交通大學〕。華藝線上圖書館。https://doi.org/10.6842/NCTU.2013.00096

林怡吟（2011）。探討台灣目前發展國際醫療行銷策略與外籍病患就醫選擇因素間之差異〔碩士論文，臺北醫學大學〕。華藝線上圖書館。https://doi.org/10.6831/TMU.2011.00007

陳韋如（2009）。閾限的公共領域：空軍三重一村的社會空間研究〔碩士論文，國立臺北大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0023-1808200914401100

國際替代計量

A Comparative Analysis of Decision Trees Vis-□-vis OtherComputational Data Mining Techniques in AutomotiveInsurance Fraud Detection

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