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020 _a9783662540374
_9978-3-662-54037-4
024 7 _a10.1007/978-3-662-54037-4
_2doi
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072 7 _aUN
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245 1 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems XXIX
_h[electronic resource] /
_cedited by Abdelkader Hameurlain, Josef Küng, Roland Wagner.
250 _a1st ed. 2016.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2016.
300 _aVII, 135 p. 29 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 ;
_v10120
505 0 _aSensitivity- An Important Facet of Cluster Validation Process for Entity Matching Technique -- Pay-as-You-Go Configuration of Entity Resolution -- A Unified View of Data-Intensive Flows in Business Intelligence Systems: A Survey -- A Self-Adaptive and Incremental Approach for Data Profiling in the Semantic Web.
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 29th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains four revised selected regular papers. Topics covered include optimization and cluster validation processes for entity matching, business intelligence systems, and data profiling in the Semantic Web. .
650 0 _aDatabase management.
_93157
650 0 _aData mining.
_93907
650 0 _aArtificial intelligence.
_93407
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aApplication software.
_9163667
650 0 _aAlgorithms.
_93390
650 1 4 _aDatabase Management.
_93157
650 2 4 _aData Mining and Knowledge Discovery.
_9163668
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aComputer and Information Systems Applications.
_9163669
650 2 4 _aAlgorithms.
_93390
700 1 _aHameurlain, Abdelkader.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9163670
700 1 _aKüng, Josef.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9163671
700 1 _aWagner, Roland.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
_9163672
710 2 _aSpringerLink (Online service)
_9163673
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783662540367
776 0 8 _iPrinted edition:
_z9783662540381
830 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems,
_x2510-4942 ;
_v10120
_9163674
856 4 0 _uhttps://doi.org/10.1007/978-3-662-54037-4
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