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Transactions on large-scale data- and knowledge centered systems IX / Abdelkader Hameurlain, Josef Küng, Roland Wagner (eds.).

Contributor(s): Hameurlain, Abdelkader [editor.] | Küng, Josef, 1962- [editor.] | Wagner, Roland R [editor.]Material type: TextTextSeries: Serienbezeichnung | Lecture notes in computer science ; 7980.Publisher: Heidelberg : Springer, [2013]Description: 1 online resource (122 pages) : illustrations (black and white)Content type: text Media type: computer Carrier type: online resourceISBN: 9783642400698; 3642400698; 364240068X; 9783642400681Other title: Transactions on large-scale data- and knowledge centered systems 9Subject(s): Database management | Large scale systems | Computer Systems | Database Management Systems | Database management | Large scale systemsGenre/Form: Electronic books. | Ebook. Additional physical formats: Print version:: Transactions on large-scale data- and knowledge-centered systems IX.DDC classification: 005.74 LOC classification: QA76.9.D3 | T73 2013NLM classification: QA 76.9.D3Online resources: Click here to access online
Contents:
As-Soon-As-Possible Top-k Query Processing in P2P Systems -- Self-stabilizing Consensus Average Algorithm in Distributed Sensor Networks -- Recoverable Encryption through a Noised Secret over a Large Cloud -- Conservative Type Extensions for XML Data -- Pairwise Similarity for Cluster Ensemble Problem: Link-Based and Approximate Approaches.
Summary: 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 ninth issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers focusing on the following topics: top-k query processing in P2P systems, self-stabilizing consensus average algorithms in distributed sensor networks, recoverable encryption schemes, xml data in a multi-system environment, and pairwise similarity for cluster ensemble problems.
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Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed July 25, 2013).

As-Soon-As-Possible Top-k Query Processing in P2P Systems -- Self-stabilizing Consensus Average Algorithm in Distributed Sensor Networks -- Recoverable Encryption through a Noised Secret over a Large Cloud -- Conservative Type Extensions for XML Data -- Pairwise Similarity for Cluster Ensemble Problem: Link-Based and Approximate Approaches.

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 ninth issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers focusing on the following topics: top-k query processing in P2P systems, self-stabilizing consensus average algorithms in distributed sensor networks, recoverable encryption schemes, xml data in a multi-system environment, and pairwise similarity for cluster ensemble problems.

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