The Web Observatory: A Middle Layer for Broad Data
نویسندگان
چکیده
منابع مشابه
a new approach to credibility premium for zero-inflated poisson models for panel data
هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...
15 صفحه اولWeb Services for the Virtual Observatory
Web Services form a new, emerging paradigm to handle distributed access to resources over the Internet. There are platform independent standards (SOAP, WSDL), which make the developers’ task considerably easier. This article dis cusses how web services could be used in the context of the Virtual Observatory. We envisage a multi-layer architecture, with interoperating services. A well-designed l...
متن کاملA Middle Layer Open Architecture to Search Query based Web Services over the Public Web
Web Services are the server side procedures provided to the web clients and web programmers to improve the application environment. When the service search is performed respective to particular keyword, there exists number of possible web service with almost same functionality. In such case, the comparative analysis is required in terms of availability, response time and security features of a ...
متن کاملA Prehistoric Solar Observatory in the Middle of Sahara Desert
The prehistoric stone funerary monuments of the Sahara desert, distributed in a huge geographical area, had been created in several different shapes. Some of them have a design that looks like a keyhole, and therefore are known as keyhole tombs. Since they are facing the sunrise, these tombs were also considered as places for the worship of the sun. In this paper, we show that one of them, in A...
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: Big Data
سال: 2014
ISSN: 2167-6461,2167-647X
DOI: 10.1089/big.2014.0035