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020 _a9783662485675
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024 7 _a10.1007/978-3-662-48567-5
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082 0 4 _a025.04
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245 1 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems XXII
_h[electronic resource] /
_cedited by Abdelkader Hameurlain, Josef Küng, Roland Wagner.
250 _a1st ed. 2015.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2015.
300 _aVII, 185 p. 56 illus. in color.
_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 ;
_v9430
505 0 _aBPMiner: Algorithms for Large-scale Private Analysis -- System Modeling and Trust Evaluation of Distributed Systems -- Efficient Querying of XML Data through Arbitrary Security Views -- Increasing Coverage in Distributed Search and Recommendation with Profile Diversity -- Hypothesis Discovery Exploiting Closed Chains of Relations -- An Analysis of Variance-Based Methods for Data Aggregation in Periodic Sensor Networks.
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 22nd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six revised selected regular papers. Topics covered include algorithms for large-scale private analysis, modelling of entities from social and digital worlds and their relations, querying virtual security views of XML data, recommendation approaches using diversity-based clustering scores, hypothesis discovery, and data aggregation techniques in sensor netwo rk environments.
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aDatabase management.
_93157
650 0 _aArtificial intelligence.
_93407
650 0 _aApplication software.
_9163262
650 0 _aData mining.
_93907
650 0 _aMachine theory.
_9163263
650 1 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aDatabase Management.
_93157
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer and Information Systems Applications.
_9163264
650 2 4 _aData Mining and Knowledge Discovery.
_9163265
650 2 4 _aFormal Languages and Automata Theory.
_9163266
700 1 _aHameurlain, Abdelkader.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9163267
700 1 _aKüng, Josef.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9163268
700 1 _aWagner, Roland.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9163269
710 2 _aSpringerLink (Online service)
_9163270
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783662485668
776 0 8 _iPrinted edition:
_z9783662485682
830 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
_x2510-4942 ;
_v9430
_9163271
856 4 0 _uhttps://doi.org/10.1007/978-3-662-48567-5
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