iCLIC Data Mining and Data Sharing workshop: The present and future of data mining and data sharing in the EU
نویسندگان
چکیده
منابع مشابه
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 ...
15 صفحه اولInvestigation of Sharing and Reuse of Research Data among Researchers
Purpose: Sharing research data leads to the reusing that data. The purpose is to describe the status of sharing and reusing research data amongst researchers. This examines the attitude, experience and barriers in reusing research data. Methodology: Applied quantitative survey method was used. Population was 154 participants all faculty members of Azarbaijan Shahid Madani University. Instrum...
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In the constantly developing world, e-health systems hold great promise for improving global access to healthcare services. Current significant technological visions of innovation in healthcare systems identify an approach to join different technological sectors and the need for technological platforms as well. These are: standardized electronic health records (eHR), aggregated public health da...
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Intrusion Detection Systems (IDSs) are security tools widely used in computer networks. While they seem to be promising technologies, they pose some serious drawbacks: When utilized in large and high traffic networks, IDSs generate high volumes of low-level alerts which are hardly manageable. Accordingly, there emerged a recent track of security research, focused on alert correlation, which ext...
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ژورنال
عنوان ژورنال: Computer Law & Security Review
سال: 2017
ISSN: 0267-3649
DOI: 10.1016/j.clsr.2016.12.004