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Can I read Transactions on Large-Scale Data- and Knowledge-Centered Systems XLI Special Issue on Data and Security Engineering. Transactions on Large-Scale Data- and Knowledge-Centered Systems on EtoBox?

Transactions on Large-Scale Data- and Knowledge-Centered Systems XLI Special Issue on Data and Security Engineering. Transactions on Large-Scale Data- and Knowledge-Centered Systems by Abdelkader Hameurlain; Roland Wagner; Tran Khanh Dang; Springer-Verlag GmbH is a nonfiction available to read on EtoBox.

What is Transactions on Large-Scale Data- and Knowledge-Centered Systems XLI Special Issue on Data and Security Engineering. Transactions on Large-Scale Data- and Knowledge-Centered Systems about?

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 41st issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains seven revised, extended papers selected from the 4th International Conference on Future Data and Security Engineerin

Who reads Transactions on Large-Scale Data- and Knowledge-Centered Systems XLI Special Issue on Data and Security Engineering. Transactions on Large-Scale Data- and Knowledge-Centered Systems?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Abdelkader Hameurlain; Roland Wagner; Tran Khanh Dang; Springer-Verlag GmbH
Publisher
Springer Berlin Heidelberg : Imprint : Springer
Published
2019
Language
EN
ISBN
9783662588079
Category
nonfiction
Subjects
Science, Computer Science, Management

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