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020 _a9783642400698
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024 7 _a10.1007/978-3-642-40069-8
_2doi
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245 1 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems IX
_h[electronic resource] /
_cedited by Abdelkader Hameurlain, Josef Küng, Roland Wagner.
250 _a1st ed. 2013.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aX, 123 p. 35 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
_x2510-4942 ;
_v7980
505 0 _aAs-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.
520 _aThe 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.
650 0 _aData mining.
_93907
650 0 _aComputer networks .
_931572
650 0 _aAlgorithms.
_93390
650 0 _aDatabase management.
_93157
650 0 _aInformation technology
_xManagement.
_95368
650 1 4 _aData Mining and Knowledge Discovery.
_9163249
650 2 4 _aComputer Communication Networks.
_9163250
650 2 4 _aAlgorithms.
_93390
650 2 4 _aDatabase Management.
_93157
650 2 4 _aComputer Application in Administrative Data Processing.
_931588
700 1 _aHameurlain, Abdelkader.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9163251
700 1 _aKüng, Josef.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_9163252
700 1 _aWagner, Roland.
_eeditor.
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_9163253
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783642400704
830 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
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_v7980
_9163255
856 4 0 _uhttps://doi.org/10.1007/978-3-642-40069-8
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