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Transactions on Large-Scale Data- and Knowledge-Centered Systems I (Lecture Notes in Computer Science) by Hamideh Afsarmanesh, Ekaterina Ermilova (auth.), Abdelkader Hameurlain, Josef Küng, Roland Wagner (eds.) is a nonfiction available to read on EtoBox.
What is Transactions on Large-Scale Data- and Knowledge-Centered Systems I (Lecture Notes in Computer Science) 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 applicational development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolvement 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 inaugural issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, consists of journal versions of talks invited to the DEXA 2009 conference and further invited contributions by well-k
Who reads Transactions on Large-Scale Data- and Knowledge-Centered Systems I (Lecture Notes in Computer Science)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Hamideh Afsarmanesh, Ekaterina Ermilova (auth.), Abdelkader Hameurlain, Josef Küng, Roland Wagner (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Published
- 2009
- Language
- EN
- ISBN
- 9783642037214
- Category
- nonfiction
- Subjects
- Mathematics, Computer Science, Management
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