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Titlebook: Recent Progress in Data Engineering and Internet Technology; Volume 1 Ford Lumban Gaol Conference proceedings 2013 Springer-Verlag GmbH Ber

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書目名稱Recent Progress in Data Engineering and Internet Technology
副標題Volume 1
編輯Ford Lumban Gaol
視頻videohttp://file.papertrans.cn/824/823301/823301.mp4
概述Selected contributions from the 2011 International Conference on Data Engineering and Internet Technology.This book describe new results and future research directions in data engineering and internet
叢書名稱Lecture Notes in Electrical Engineering
圖書封面Titlebook: Recent Progress in Data Engineering and Internet Technology; Volume 1 Ford Lumban Gaol Conference proceedings 2013 Springer-Verlag GmbH Ber
描述.The latest inventions in internet technology influence most of business and daily activities. Internet security, internet data management, web search, data grids, cloud computing, and web-based applications play vital roles, especially in business and industry, as more transactions go online and mobile. Issues related to ubiquitous computing are becoming critical. .?.Internet technology and data engineering should reinforce efficiency and effectiveness of business processes. These technologies should help people make better and more accurate decisions by presenting necessary information and possible consequences for the decisions. Intelligent information systems should help us better understand and manage information with ubiquitous data repository and cloud computing..?.This book is a compilation of some recent research findings in Internet Technology and Data Engineering. This book provides state-of-the-art accountsin computational algorithms/tools, database management and database technologies, ?intelligent information systems, data engineering applications, ?internet security, internet data management, web search, data grids, cloud computing, web-based application, and other r
出版日期Conference proceedings 2013
關鍵詞Cloud Computing; Computational Algorithms; Data Grids; Database Management; Internet Informatics; Interne
版次1
doihttps://doi.org/10.1007/978-3-642-28807-4
isbn_softcover978-3-642-44797-6
isbn_ebook978-3-642-28807-4Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightSpringer-Verlag GmbH Berlin Heidelberg 2013
The information of publication is updating

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Using Version Control System to Construct Ownership Architecture Documentations,he source files in a directory implement the same function component, and the owners of these source files can be considered a team. Using the documents, researcher can know the ownership architecture and more information about the status of the project.
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Distributed Gaussian Mixture Learning Based on Variational Approximations,e statistically modeled by a common Gaussian mixture model. We develop a distributed variational Bayesian algorithm (DVBA) to estimate the parameters of this model. This algorithm produces an estimate of the density of the sensor data without requiring the data to be transmitted to and processed at
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