Automated detection and classification of synoptic-scale fronts from atmospheric data grids

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 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 ...

Validation of Synoptic Station Data Using Ensemble Classification on Central Iran

Today, the use of data recorded in synoptic stations of the country is one of the most significant sources of applied research for researchers. Data recorded automatically or manually at synoptic, climatological, and other stations are analyzed for statistical analysis. In this research, the data recorded in the synoptic stations of Iran, which are used to determine the days of dust, were analy...

Synoptic Determination and Forecasting Significance of Cold Fronts Aloft

P1.1 Use of Synthetic Aperture Radar in the Fine-scale Analysis of Synoptic- Scale Fronts at Sea

Fine-scale surface analysis of synoptic-scale weather systems is a challenging undertaking in the best of circumstances, but has proven particularly difficult at sea because of the paucity of in situ observations (Bosart 2003; Young et al. 1997). Remote sensing has taken a lead role in mitigating this problem. The success of remote sensing in this respect depends on the nature of the phenomena ...