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020 _a9783662534557
_9978-3-662-53455-7
024 7 _a10.1007/978-3-662-53455-7
_2doi
050 4 _aQA76.9.D3
072 7 _aUN
_2bicssc
072 7 _aUMT
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072 7 _aCOM021000
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082 0 4 _a005.74
_223
245 1 0 _aTransactions on Large-Scale Data- and Knowledge-Centered Systems XXVIII
_h[electronic resource] :
_bSpecial Issue on Database- and Expert-Systems Applications /
_cedited by Abdelkader Hameurlain, Josef K�ung, Roland Wagner, Qimin Chen.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2016.
300 _aXI, 157 p. 43 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 ;
_v9940
505 0 _aAccelerating Set Similarity Joins Using GPUs -- Divide-and-Conquer Parallelism for Learning Mixture Models -- Multistore Big Data Integration with CloudMdsQL -- Ontology Matching with Knowledge Rules -- Regularized Cost-Model Oblivious Database Tuning with Reinforcement Learning -- Workload-Aware Self-tuning Histograms for 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 28th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of six papers presented at the 26th International Conference on Database- and Expert-Systems Applications, DEXA 2015, held in Valencia, Spain, in September 2015. Topics covered include efficient graph processing, machine learning on big data, multistore big data integration, ontology matching, and the optimization of histograms for 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.
700 1 _aChen, Qimin.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783662534540
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v9940
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-662-53455-7
912 _aZDB-2-SCS
912 _aZDB-2-LNC
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