Conceptual Mapping of Insurance Risk Management to Data Mining

Conceptual Mapping of Insurance Risk Management to Data Mining

Insurance industry contributes largely to the economy therefore risk management in this industry is very much necessary. In the insurance parlance, the risk management is a tool identifying business opportunities to design and modify the insurance products. Risk can have severe impact in case not managed properly and timely. The mapping of risk management with data mining will help organization...

data mining rules and classification methods in insurance: the case of collision insurance

assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...

the clustering and classification data mining techniques in insurance fraud detection:the case of iranian car insurance

با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...

Data mining approaches to modelling insurance risk

Insurance Risk Modeling Using Data Mining Technology

The UPA (Underwriting Profitability Analysis) application embodies a new approach to mining Property & Casualty (P&C) insurance policy and claims data for the purpose of constructing predictive models for insurance risks. UPA utilizes the ProbE (Probabilistic Estimation) predictive modeling class library to discover risk characterization rules by analyzing large and noisy insurance data sets. E...