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001 978-3-662-54037-4
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020 _a9783662540374
_9978-3-662-54037-4
024 7 _a10.1007/978-3-662-54037-4
_2doi
050 4 _aQA76.9.D3
072 7 _aUN
_2bicssc
072 7 _aUMT
_2bicssc
072 7 _aCOM021000
_2bisacsh
082 0 4 _a005.74
_223
245 1 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems XXIX
_h[electronic resource] /
_cedited by Abdelkader Hameurlain, Josef K�ung, Roland Wagner.
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
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_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 _aComputer science.
650 0 _aAlgorithms.
650 0 _aDatabase management.
650 0 _aData mining.
650 0 _aInformation storage and retrieval.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aDatabase Management.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aAlgorithm Analysis and Problem Complexity.
700 1 _aHameurlain, Abdelkader.
_eeditor.
700 1 _aK�ung, Josef.
_eeditor.
700 1 _aWagner, Roland.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783662540367
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v10120
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-662-54037-4
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