Big Data, Data Mining and Temporary Reproduction

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 science, big data and granular mining

Data science, big data and granular mining

With the evolution of various modern technologies, huge amount f data is being constantly generated and collected around us. We re in the midst of what is popularly called information revolution nd are living in a so-called world of knowledge. Intentionally and/or ccidentally, generation of these data is inevitable. As a result, large ata, broadly characterised by three Vs – large volume, veloc...

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 ...

Onomastics and Big Data Mining

As of today, the main business application of onomastics is naming, or branding: �nding the proper name for your company or your product to stand out in the world. Meaningfully, Onoma – the Greek root for name – is also a registered trademark of Nomen, the naming agency founded by Marcel Botton in 1981. Nomen initially licensed one of Roland Moreno's inventions, the Radoteur name generator, and...