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Titlebook: Transactions on Large-Scale Data- and Knowledge-Centered Systems XLII; Abdelkader Hameurlain,Roland Wagner Book 2019 Springer-Verlag GmbH

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書(shū)目名稱Transactions on Large-Scale Data- and Knowledge-Centered Systems XLII
編輯Abdelkader Hameurlain,Roland Wagner
視頻videohttp://file.papertrans.cn/928/927956/927956.mp4
概述Constitutes a regular issue of the Transactions on Large-Scale Data- and Knowledge-Centered Systems.Contains in-depth papers on topics ranging from privacy preserving to question answering based on mu
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Transactions on Large-Scale Data- and Knowledge-Centered Systems XLII;  Abdelkader Hameurlain,Roland Wagner Book 2019 Springer-Verlag GmbH
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 42nd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, consists of five revised selected regular papers, presenting the following topics: Privacy-Preserving Top-k Query Processin
出版日期Book 2019
關(guān)鍵詞antennas; artificial intelligence; big data; big datum; caching; computer architecture; data mining; data s
版次1
doihttps://doi.org/10.1007/978-3-662-60531-8
isbn_softcover978-3-662-60530-1
isbn_ebook978-3-662-60531-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Germany, part of Springer Nature 2019
The information of publication is updating

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