WS04.01 Challenges of Data Entry in IASLC Database
نویسندگان
چکیده
منابع مشابه
Database Challenges in the Integration of Biomedical Data Sets
The clinical and basic science research domains present exciting and difficult data integration issues. Solving these problems is crucial as current research efforts in the field of biomedicine heavily depend upon integrated storage, querying, analysis, and visualization of clinicopathology information, genomic annotation, and large scale functional genomic research data sets. Such large scale ...
متن کاملthe 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 اولMetadata Enrichment for Automatic Data Entry Based on Relational Data Models
The idea of automatic generation of data entry forms based on data relational models is a common and known idea that has been discussed day by day more than before according to the popularity of agile methods in software development accompanying development of programming tools. One of the requirements of the automation methods, whether in commercial products or the relevant research projects, ...
متن کاملSpatial Database Challenges for Framework Data and Location- Based Services
Mass-market location-based services (LBS) have had a number of false dawns. However, the belief in their potential revenue earning capacity to business and their prospective benefits to social applications remains. As a result, research and investment has continued into the resolution of the factors that have inhibited the success of services. The demands on data provision, spatial database man...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Thoracic Oncology
سال: 2019
ISSN: 1556-0864
DOI: 10.1016/j.jtho.2019.08.2475