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Titlebook: Transactions on Large-Scale Data- and Knowledge-Centered Systems VI; Special Issue on Dat Abdelkader Hameurlain,Josef Küng,Xiaofang Zhou Co

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書目名稱Transactions on Large-Scale Data- and Knowledge-Centered Systems VI
副標(biāo)題Special Issue on Dat
編輯Abdelkader Hameurlain,Josef Küng,Xiaofang Zhou
視頻videohttp://file.papertrans.cn/928/927945/927945.mp4
概述Contains in-depth research papers on database and expert systems applications.Includes a preface by the guest editors introducing each paper in turn.Both theoretical and applicational aspects are cove
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Transactions on Large-Scale Data- and Knowledge-Centered Systems VI; Special Issue on Dat Abdelkader Hameurlain,Josef Küng,Xiaofang Zhou Co
描述The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the sixth issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains eight extended and revised versions of papers selected from those presented at DEXA 2011. Topics covered include sk
出版日期Conference proceedings 2012
關(guān)鍵詞data objects; data semantics; distributed query processing; relational learning; traffic jam prediction
版次1
doihttps://doi.org/10.1007/978-3-642-34179-3
isbn_softcover978-3-642-34178-6
isbn_ebook978-3-642-34179-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2012
The information of publication is updating

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